title
COVID - 19 Outbreak Prediction using Machine Learning | Machine Learning Training | Edureka

description
🔥Edureka and NIT Warangal Post Graduate Program on AI and Machine Learning: https://www.edureka.co/post-graduate/machine-learning-and-ai This Edureka Session explores and analyses the spread and impact of the novel coronavirus pandemic which has taken the world by storm with its rapid growth. In this session, we shall develop a machine learning model in Python to analyze what has been its impact so far and analyze the outbreak of COVID 19 across various regions, visualize them using charts and tables, and predict the number of upcoming confirmed cases. Finally, we’ll conclude with a few safety measures that you can take to save yourself and your loved ones from getting adversely affected in the hour of crisis. 02: 53 Introduction to COVID 19  05:49 Case Study: the outbreak of COVID 19 57:20 Conclusion 🔸Datasets and code: https://bit.ly/3tFxZQa 🔸Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm --------------------------------Edureka Training and Certifications -------------------------------- 🔵 Machine Learning Course using Python: http://bit.ly/37CWMcy 🟣 Machine Learning Engineer Masters Program: http://bit.ly/320TkHy 🔵 Deep Learning using TensorFlow: http://bit.ly/2P0M1dv 🟣 PG in Artificial Intelligence and Machine Learning with NIT Warangal: https://www.edureka.co/post-graduate/machine-learning-and-ai 🔵 Post Graduate Certification in Data Science with IIT Guwahati: https://www.edureka.co/post-graduate/data-science-program (450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies) Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV -------------------------------------------------------------------------------------------- Edureka Community: https://bit.ly/EdurekaCommunity Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates Slideshare: https://www.slideshare.net/EdurekaIN/ Meetup: https://www.meetup.com/edureka/ #edureka #MLedureka #covidPrediction #FutureOfAIML #covid19outbreak #covid19cases #machineLearningusingPython -------------------------------------------------------------------------------------------- How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! -------------------------------------------------------------------------------------------- About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Master the Basic and Advanced Concepts of Python 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs 3. Master the Concepts of Sequences and File operations 4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 7. Master the concepts of MapReduce in Hadoop 8. Learn to write Complex MapReduce programs 9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python 10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics 11. Master the concepts of Web scraping in Python 12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience -------------------------------------------------------------------------------------------- Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

detail
{'title': 'COVID - 19 Outbreak Prediction using Machine Learning | Machine Learning Training | Edureka', 'heatmap': [{'end': 1104.218, 'start': 952.335, 'weight': 0.856}, {'end': 1405.797, 'start': 1354.696, 'weight': 0.829}, {'end': 1469.188, 'start': 1428.323, 'weight': 0.766}, {'end': 3054.387, 'start': 3002.853, 'weight': 0.711}], 'summary': 'Covers the rapid spread and impact of covid-19, including the development of a machine learning model, data analysis, visualization, and forecasting with insights on exponential growth, testing, and the impact of lockdown measures, providing specific statistics such as 562 confirmed cases and 9 deaths in india as of 25th march.', 'chapters': [{'end': 169.426, 'segs': [{'end': 80.479, 'src': 'embed', 'start': 31.249, 'weight': 0, 'content': [{'end': 41.338, 'text': 'This is the paradox of pandemics and this is why an outbreak like Coronavirus Disease 19 or COVID-19 is bigger than it seems it is.', 'start': 31.249, 'duration': 10.089}, {'end': 50.386, 'text': "You'll hear health officials calling for huge, drastic and rapid responses in early days when the infection numbers are relatively small.", 'start': 41.858, 'duration': 8.528}, {'end': 54.219, 'text': 'Some people will tell you these actions are overreactions.', 'start': 51.036, 'duration': 3.183}, {'end': 57.361, 'text': 'Sports teams will not be playing at all.', 'start': 54.639, 'duration': 2.722}, {'end': 60.103, 'text': 'Huge gatherings and festivals will be cancelled.', 'start': 57.681, 'duration': 2.422}, {'end': 62.845, 'text': 'Schools will close and so will offices.', 'start': 60.764, 'duration': 2.081}, {'end': 66.248, 'text': 'On-field operations are going to completely shut down.', 'start': 63.506, 'duration': 2.742}, {'end': 69.57, 'text': 'The government will tell you to avoid personal contact.', 'start': 66.888, 'duration': 2.682}, {'end': 71.792, 'text': 'Media sensationalism.', 'start': 70.231, 'duration': 1.561}, {'end': 75.095, 'text': "All too much for something that isn't even as big yet.", 'start': 72.413, 'duration': 2.682}, {'end': 80.479, 'text': 'But this way of thinking fails to appreciate how disease outbreaks work.', 'start': 75.815, 'duration': 4.664}], 'summary': 'Covid-19 outbreak prompts drastic measures due to its potential impact, despite small initial infection numbers.', 'duration': 49.23, 'max_score': 31.249, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ31249.jpg'}, {'end': 156.498, 'src': 'embed', 'start': 131.974, 'weight': 2, 'content': [{'end': 138.06, 'text': "We're going to start out by introducing you a little bit to the spread of the coronavirus disease of 2019,", 'start': 131.974, 'duration': 6.086}, {'end': 149.251, 'text': "and then we're going to move on straight to our Colab notebook and we are going to execute an entire machine learning model, discussing the outbreak,", 'start': 138.06, 'duration': 11.191}, {'end': 151.073, 'text': 'its impact on different countries.', 'start': 149.251, 'duration': 1.822}, {'end': 156.498, 'text': 'Where does India stand in this outbreak and finally discuss a few solutions.', 'start': 151.393, 'duration': 5.105}], 'summary': "Introducing covid-19 spread, executing ml model, and discussing india's position and solutions.", 'duration': 24.524, 'max_score': 131.974, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ131974.jpg'}], 'start': 11.505, 'title': 'Paradox of pandemics', 'summary': 'Emphasizes the rapid and exponential spread of diseases like covid-19, leading to drastic responses and the need for understanding disease outbreaks, with insights on the impact in different countries.', 'chapters': [{'end': 169.426, 'start': 11.505, 'title': 'Paradox of pandemics', 'summary': 'Highlights the paradox of pandemics, emphasizing the rapid and exponential spread of diseases like covid-19, leading to drastic responses and the need for understanding disease outbreaks, as discussed in a machine learning session on the spread of covid-19, including insights on the impact in different countries.', 'duration': 157.921, 'highlights': ['The rapid and exponential spread of diseases like COVID-19 can lead to drastic responses, such as cancellations of sports events, festivals, school closures, and government advisories to avoid personal contact.', 'In the early days of an outbreak, health officials may call for huge, drastic, and rapid responses, even when infection numbers are relatively small, highlighting the need for proactive measures.', 'The session focuses on building a machine learning model to discuss the spread of COVID-19 and the impact on different countries, including India, China, South Korea, and Italy, emphasizing the theoretical nature of the discussion and the inferences drawn from acquired data.', "The agenda of the session includes an introduction to the spread of the coronavirus disease of 2019, the execution of a machine learning model, and discussions on the outbreak's impact and potential solutions, highlighting the comprehensive approach to understanding and addressing the pandemic."]}], 'duration': 157.921, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ11505.jpg', 'highlights': ['The rapid and exponential spread of diseases like COVID-19 can lead to drastic responses, such as cancellations of sports events, festivals, school closures, and government advisories to avoid personal contact.', 'In the early days of an outbreak, health officials may call for huge, drastic, and rapid responses, even when infection numbers are relatively small, highlighting the need for proactive measures.', 'The session focuses on building a machine learning model to discuss the spread of COVID-19 and the impact on different countries, including India, China, South Korea, and Italy, emphasizing the theoretical nature of the discussion and the inferences drawn from acquired data.', "The agenda of the session includes an introduction to the spread of the coronavirus disease of 2019, the execution of a machine learning model, and discussions on the outbreak's impact and potential solutions, highlighting the comprehensive approach to understanding and addressing the pandemic."]}, {'end': 544.461, 'segs': [{'end': 190.716, 'src': 'embed', 'start': 169.446, 'weight': 2, 'content': [{'end': 187.332, 'text': 'Now, the main objective of this particular video is to step into the shoes of a data scientist for an hour or two and understand how will they approach all this ever-expanding scope of data that we are being exposed to.', 'start': 169.446, 'duration': 17.886}, {'end': 190.716, 'text': 'Now as a data scientist there are two parts of your job.', 'start': 188.274, 'duration': 2.442}], 'summary': 'Understand how data scientists approach ever-expanding data scope.', 'duration': 21.27, 'max_score': 169.446, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ169446.jpg'}, {'end': 274.232, 'src': 'embed', 'start': 246.989, 'weight': 3, 'content': [{'end': 256.156, 'text': "So basically, what I'm trying to say is the outbreak of coronavirus is obviously developing into a major international crisis,", 'start': 246.989, 'duration': 9.167}, {'end': 261.281, 'text': "and it's lending to influence the most important aspects of our daily lives.", 'start': 256.156, 'duration': 5.125}, {'end': 273.191, 'text': 'For example, in most of the major cities in India, places where community gatherings occur have been shut down, like malls, cinema theaters, pubs,', 'start': 262.122, 'duration': 11.069}, {'end': 274.232, 'text': 'so on and so forth.', 'start': 273.191, 'duration': 1.041}], 'summary': 'Coronavirus outbreak leading to closures of public places in major indian cities.', 'duration': 27.243, 'max_score': 246.989, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ246989.jpg'}, {'end': 346.845, 'src': 'embed', 'start': 318.85, 'weight': 1, 'content': [{'end': 325.393, 'text': 'a few fresh cases from certain states such as Gujarat, Madhya, Pradesh, West Bengal and Odisha,', 'start': 318.85, 'duration': 6.543}, {'end': 329.115, 'text': 'and had been reported by the Union Ministry of Health and Family Welfare.', 'start': 325.393, 'duration': 3.722}, {'end': 340.481, 'text': 'Now. the objective of this case study is to come up with a strong machine learning model which predicts how the virus could spread across different countries and regions.', 'start': 329.833, 'duration': 10.648}, {'end': 346.845, 'text': 'The goal of this task is to come up with something that predicts the spread of the virus in the next week.', 'start': 340.961, 'duration': 5.884}], 'summary': 'Fresh covid-19 cases reported in certain states; aim to predict virus spread across countries and regions next week.', 'duration': 27.995, 'max_score': 318.85, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ318850.jpg'}, {'end': 406.474, 'src': 'embed', 'start': 372.516, 'weight': 0, 'content': [{'end': 374.958, 'text': 'So here is our problem statement.', 'start': 372.516, 'duration': 2.442}, {'end': 376.859, 'text': 'Let me read this out quickly.', 'start': 375.638, 'duration': 1.221}, {'end': 386.648, 'text': 'Now is the 25th of March and India has reported its ninth death, with 562 total confirmed cases due to covid-19.', 'start': 377.685, 'duration': 8.963}, {'end': 393.851, 'text': 'fresh cases from Manipur, Bihar, Gujarat and Madhya Pradesh have been reported by the Union Ministry of Health and Family Welfare.', 'start': 386.648, 'duration': 7.203}, {'end': 397.847, 'text': 'as a coronavirus outbreak continues to spread in this country.', 'start': 394.645, 'duration': 3.202}, {'end': 406.474, 'text': 'the question that we are all trying to answer is that will India be able to tackle this pandemic, or are we going to witness another case like Italy,', 'start': 397.847, 'duration': 8.627}], 'summary': 'India has 562 confirmed covid-19 cases with 9 deaths on march 25, prompting concern about the ability to tackle the outbreak.', 'duration': 33.958, 'max_score': 372.516, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ372516.jpg'}], 'start': 169.446, 'title': 'Data science and covid-19 in india', 'summary': "Discusses the essential aspects of a data scientist's job and the perception of data science, as well as the progression of covid-19 in india, including its impact, the development of a machine learning model, and current statistics such as 562 confirmed cases and 9 deaths as of 25th march.", 'chapters': [{'end': 221.56, 'start': 169.446, 'title': "Data scientist's approach to ever-expanding data", 'summary': "Delves into the two key aspects of a data scientist's job, emphasizing the importance of getting hands dirty and the glamorous side, while also addressing the perception of data science as the 'sexiest job of the 21st century'.", 'duration': 52.114, 'highlights': ["The job of a data scientist involves getting hands dirty, being aware of data sources, and embracing the glamorous aspect, often termed as the 'sexiest job of the 21st century'.", "Understanding the ever-expanding scope of data and approaching it from a data scientist's perspective for an hour or two is the main objective of the video."]}, {'end': 544.461, 'start': 221.56, 'title': 'Progression of covid-19 in india', 'summary': 'Outlines the progression of covid-19 in india, from import to global pandemic, and its impact on daily life and travel. it also discusses the development of a machine learning model to predict the virus spread, with india currently in stage 2 of the pandemic. as of 25th march, there are 562 total confirmed cases and 9 deaths due to covid-19 in india.', 'duration': 322.901, 'highlights': ['India is in stage 2 of the pandemic, leading to essential stockpiling and shutdown of community gathering places. India is in stage 2 of the pandemic, leading to essential stockpiling and shutdown of community gathering places, including malls, theaters, and pubs. People are stocking up on essentials due to limited hours at grocery shops.', "Development of a machine learning model to predict virus spread in different countries and regions. Development of a machine learning model to predict virus spread in different countries and regions, with the goal of predicting the spread of the virus in the next week, focusing on India's current stage 2 pandemic progression.", 'As of 25th March, India reported 562 total confirmed cases and 9 deaths due to COVID-19. As of 25th March, India reported 562 total confirmed cases and 9 deaths due to COVID-19, with fresh cases reported from Manipur, Bihar, Gujarat, and Madhya Pradesh.']}], 'duration': 375.015, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ169446.jpg', 'highlights': ['India reported 562 total confirmed cases and 9 deaths due to COVID-19 as of 25th March.', "Development of a machine learning model to predict virus spread in different countries and regions, focusing on India's current stage 2 pandemic progression.", "Understanding the ever-expanding scope of data and approaching it from a data scientist's perspective is the main objective of the video.", 'India is in stage 2 of the pandemic, leading to essential stockpiling and shutdown of community gathering places, including malls, theaters, and pubs.']}, {'end': 844.647, 'segs': [{'end': 685.859, 'src': 'embed', 'start': 628.653, 'weight': 0, 'content': [{'end': 637.075, 'text': 'Since then the cases have been on the rise and all the other states have been affected to some degree by this virus.', 'start': 628.653, 'duration': 8.422}, {'end': 643.298, 'text': 'In front of you is a brief timeline of the cases that have occurred in India so far.', 'start': 637.696, 'duration': 5.602}, {'end': 650.844, 'text': 'As you can see The first case happened on the 30th of Jan by the time it was 2nd of March.', 'start': 643.998, 'duration': 6.846}, {'end': 654.225, 'text': 'We had a total of six cases in two more days.', 'start': 650.944, 'duration': 3.281}, {'end': 663.989, 'text': 'The cases went up to 32 and then to 50 77 and currently we have crossed 550 cases.', 'start': 654.245, 'duration': 9.744}, {'end': 667.63, 'text': 'Now, this is the problem with a pandemic.', 'start': 664.749, 'duration': 2.881}, {'end': 676.474, 'text': "Everything is fine until it's not and because the rise of a pandemic is always exponential.", 'start': 668.01, 'duration': 8.464}, {'end': 685.859, 'text': 'We think of the problem as very minute till it reaches a significant stage and then the increase is extremely quick.', 'start': 676.834, 'duration': 9.025}], 'summary': 'India has seen a rapid increase in covid-19 cases, rising from 6 to over 550 within a short period, with exponential growth expected.', 'duration': 57.206, 'max_score': 628.653, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ628653.jpg'}, {'end': 801.288, 'src': 'embed', 'start': 739.887, 'weight': 2, 'content': [{'end': 752.276, 'text': 'it would shock you to know that the day does not come until the 54th day, which means it goes from a mere 1% to 100% in less than seven days.', 'start': 739.887, 'duration': 12.389}, {'end': 755.819, 'text': 'And this is called exponential growth.', 'start': 753.177, 'duration': 2.642}, {'end': 759.841, 'text': 'The growth of pandemics is kind of like this.', 'start': 756.719, 'duration': 3.122}, {'end': 765.606, 'text': "It grows extremely fast once it's reached a significant point.", 'start': 760.582, 'duration': 5.024}, {'end': 768.868, 'text': "And before that, it's almost unnoticeable.", 'start': 765.986, 'duration': 2.882}, {'end': 771.834, 'text': "Now this obviously can't go on forever.", 'start': 769.653, 'duration': 2.181}, {'end': 784.24, 'text': 'This virus cannot infect everybody, because eventually it will stop finding people that it can infect and hence, after a sharp uprise,', 'start': 772.334, 'duration': 11.906}, {'end': 785.641, 'text': 'the growth is going to slow down.', 'start': 784.24, 'duration': 1.401}, {'end': 788.643, 'text': 'Such a curve is known as a sigmoid.', 'start': 785.941, 'duration': 2.702}, {'end': 795.506, 'text': 'This is called logistic growth and the curve you see in front of you is known as a sigmoid.', 'start': 789.323, 'duration': 6.183}, {'end': 801.288, 'text': 'Now every point on the sigmoid is going to tell us the number of cases for a given day.', 'start': 796.246, 'duration': 5.042}], 'summary': 'Pandemic growth shows exponential rise and sigmoid curve, reaching 100% in 54 days.', 'duration': 61.401, 'max_score': 739.887, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ739887.jpg'}], 'start': 545.185, 'title': 'Covid-19 growth', 'summary': 'Delves into the rise of covid-19 cases in india, starting from the first case on january 30th to over 550 cases, showcasing the exponential nature of the pandemic. it also discusses exponential growth using a riddle about germs and relates it to pandemic growth, emphasizing the potential to overwhelm healthcare systems.', 'chapters': [{'end': 685.859, 'start': 545.185, 'title': 'Analyzing covid-19 cases in india', 'summary': 'Explains the rise of covid-19 cases in india, with the first case reported on january 30th and a rapid increase to over 550 cases, highlighting the exponential nature of the pandemic.', 'duration': 140.674, 'highlights': ['The first case of COVID-19 in India was reported on January 30th, with a subsequent rapid rise to over 550 cases, showcasing the exponential nature of the pandemic.', 'On February 2nd, there were five new reported cases of the coronavirus from Kerala, indicating the early spread of the virus in the country.', 'The chapter discusses the timeline of COVID-19 cases in India, highlighting the rapid increase from six cases on March 2nd to over 550 cases, demonstrating the significant escalation of the pandemic.', 'The transcript explains the impact of a pandemic, emphasizing the exponential nature of its rise, leading to a rapid increase in cases from a seemingly minute problem to a significant stage.']}, {'end': 844.647, 'start': 687.159, 'title': 'Exponential and logistic growth', 'summary': 'Explains the concept of exponential growth using a riddle about germs on a slide, and then relates it to the growth of pandemics, highlighting the rapid and noticeable increase once it reaches a significant point, and the subsequent slowing down known as logistic growth, with the potential to overwhelm healthcare systems.', 'duration': 157.488, 'highlights': ['The slide is half covered on the 59th day, but it takes until the 54th day for the germs to cover merely 1% of the slide, demonstrating the concept of exponential growth with the rapid increase from 1% to 100% in less than seven days.', 'The growth of pandemics is likened to exponential growth, where it grows extremely fast once it reaches a significant point and is almost unnoticeable before that, and then slows down after reaching a peak, known as logistic growth.', 'The sigmoid curve represents logistic growth and can show the number of cases for a given day, while the slope at any point on the curve indicates how many new cases are there on a daily basis, potentially overwhelming the healthcare system with a sharp uprise in cases.']}], 'duration': 299.462, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ545185.jpg', 'highlights': ['The rapid rise of COVID-19 cases in India from six cases on March 2nd to over 550 cases, demonstrating the significant escalation of the pandemic.', 'The exponential nature of pandemic growth, leading to a rapid increase in cases from a seemingly minute problem to a significant stage.', 'The concept of exponential growth demonstrated with the rapid increase from 1% to 100% in less than seven days, emphasizing the rapid spread of the virus.', 'The potential of overwhelming the healthcare system with a sharp uprise in cases, as indicated by the sigmoid curve representing logistic growth.']}, {'end': 1226.948, 'segs': [{'end': 894.82, 'src': 'embed', 'start': 845.447, 'weight': 0, 'content': [{'end': 861.792, 'text': 'All we have to do is flatten the curve so we can delay this entire process of the spread of the pandemic and we can bring the curve of the spread of the disease below the resources line to cause minimum number of deaths.', 'start': 845.447, 'duration': 16.345}, {'end': 870.795, 'text': 'And the only way we can do that is by reducing community transmission, which brings me to my next cell.', 'start': 862.692, 'duration': 8.103}, {'end': 878.966, 'text': "the recent COVID-19 cases in India and the Prime Minister's speech on the 24th of March.", 'start': 872.56, 'duration': 6.406}, {'end': 881.828, 'text': 'Now, most of you might be aware of this.', 'start': 879.646, 'duration': 2.182}, {'end': 889.515, 'text': 'like a lot of countries, the Indian government declared a three-week nationwide lockdown, starting midnight Tuesday,', 'start': 881.828, 'duration': 7.687}, {'end': 894.82, 'text': 'explaining that it was the only way of breaking the COVID-19 infection cycle.', 'start': 889.515, 'duration': 5.305}], 'summary': "To reduce covid-19 transmission, india implemented a 3-week lockdown from march 24, following the pm's declaration.", 'duration': 49.373, 'max_score': 845.447, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ845447.jpg'}, {'end': 1105.239, 'src': 'heatmap', 'start': 948.073, 'weight': 3, 'content': [{'end': 952.015, 'text': "Remember I had told you if it's got anything to do with tabular data.", 'start': 948.073, 'duration': 3.942}, {'end': 959.098, 'text': 'We are going to be using pandas and, if you have a doubt on where we have procured this data from,', 'start': 952.335, 'duration': 6.763}, {'end': 966.262, 'text': 'all of the data sets have been taken from the government official website and the time series.', 'start': 959.098, 'duration': 7.164}, {'end': 973.295, 'text': "data sets have been scraped from John Hopkins University's updated get.", 'start': 966.262, 'duration': 7.033}, {'end': 979.821, 'text': "so what I'm going to do is I'm going to be reading the data sets and creating a data frame.", 'start': 973.295, 'duration': 6.526}, {'end': 982.824, 'text': 'All right.', 'start': 982.443, 'duration': 0.381}, {'end': 986.507, 'text': 'And now you have the name of the state.', 'start': 984.245, 'duration': 2.262}, {'end': 989.91, 'text': 'total confirmed cases of Indian Nationals.', 'start': 986.507, 'duration': 3.403}, {'end': 995.636, 'text': 'total confirmed cases of foreign Nationals and people who have recovered and death cases.', 'start': 989.91, 'duration': 5.726}, {'end': 1002.678, 'text': 'Next again, we are going to read another Excel sheet which has the Indian coordinates.', 'start': 997.236, 'duration': 5.442}, {'end': 1007.66, 'text': 'Again, you can procure the latitude and longitude of all the cities.', 'start': 1003.038, 'duration': 4.622}, {'end': 1014.122, 'text': 'It has been recorded, put in a spreadsheet, and you can get it from the government official website.', 'start': 1007.9, 'duration': 6.222}, {'end': 1015.763, 'text': 'And by running the cell.', 'start': 1014.703, 'duration': 1.06}, {'end': 1023.686, 'text': "what we're gonna do is we're gonna find out the daily progression of the cases in India as compared to the same in Italy, Korea and Wuhan.", 'start': 1015.763, 'duration': 7.923}, {'end': 1034.89, 'text': 'Now this module is divided into several subsections and the first of them is focused on understanding where we are right now.', 'start': 1025.099, 'duration': 9.791}, {'end': 1039.755, 'text': 'What is the situation in our country and what is the situation globally right now? Yes.', 'start': 1034.95, 'duration': 4.805}, {'end': 1048.904, 'text': 'So currently we have the total number of confirmed cases of Indian nationals and foreign nationals and the number cases of recoveries and deaths.', 'start': 1040.575, 'duration': 8.329}, {'end': 1059.284, 'text': 'Now what we are going to do is we are going to find out the total number of cases that have been confirmed with the Indian nationals and foreign nationals combined,', 'start': 1049.818, 'duration': 9.466}, {'end': 1059.965, 'text': 'as statistic.', 'start': 1059.284, 'duration': 0.681}, {'end': 1063.207, 'text': "So I'm just going to run this.", 'start': 1062.146, 'duration': 1.061}, {'end': 1070.511, 'text': 'Okay, so here you have the answer.', 'start': 1067.449, 'duration': 3.062}, {'end': 1076.335, 'text': 'The total number of confirmed cases in India as of 22nd March 2020 was 562 cases.', 'start': 1072.973, 'duration': 3.362}, {'end': 1089.402, 'text': 'And then finally we are going to highlight our data frame using a gradient background as you can see right here.', 'start': 1081.997, 'duration': 7.405}, {'end': 1094.785, 'text': 'All right.', 'start': 1094.385, 'duration': 0.4}, {'end': 1096.947, 'text': 'Now, what do we get to know?', 'start': 1095.306, 'duration': 1.641}, {'end': 1104.218, 'text': 'obviously, you can realize that the darker the red is in each of these cells, the more the number of fatalities are.', 'start': 1096.947, 'duration': 7.271}, {'end': 1105.239, 'text': 'that is one thing.', 'start': 1104.218, 'duration': 1.021}], 'summary': 'Using pandas, data from government and john hopkins university was used to analyze covid-19 cases in india, with 562 total confirmed cases as of 22nd march 2020.', 'duration': 157.166, 'max_score': 948.073, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ948073.jpg'}, {'end': 1076.335, 'src': 'embed', 'start': 1049.818, 'weight': 1, 'content': [{'end': 1059.284, 'text': 'Now what we are going to do is we are going to find out the total number of cases that have been confirmed with the Indian nationals and foreign nationals combined,', 'start': 1049.818, 'duration': 9.466}, {'end': 1059.965, 'text': 'as statistic.', 'start': 1059.284, 'duration': 0.681}, {'end': 1063.207, 'text': "So I'm just going to run this.", 'start': 1062.146, 'duration': 1.061}, {'end': 1070.511, 'text': 'Okay, so here you have the answer.', 'start': 1067.449, 'duration': 3.062}, {'end': 1076.335, 'text': 'The total number of confirmed cases in India as of 22nd March 2020 was 562 cases.', 'start': 1072.973, 'duration': 3.362}], 'summary': 'India had 562 confirmed covid-19 cases as of 22nd march 2020.', 'duration': 26.517, 'max_score': 1049.818, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ1049818.jpg'}, {'end': 1135.788, 'src': 'embed', 'start': 1105.239, 'weight': 2, 'content': [{'end': 1117.224, 'text': 'we can also see that Kerala has the largest number of confirmed cases, with 109 cases immediately, followed by Maharashtra at 101 and Karnataka at 41.', 'start': 1105.239, 'duration': 11.985}, {'end': 1121.046, 'text': 'the least number of cases is in Chhattisgarh.', 'start': 1117.224, 'duration': 3.822}, {'end': 1132.625, 'text': 'We have Manipur and Mizoram with oh and Puducherry with one case each Kerala currently is at 109 cases.', 'start': 1121.486, 'duration': 11.139}, {'end': 1135.788, 'text': 'However, the number of deaths is still zero.', 'start': 1133.165, 'duration': 2.623}], 'summary': 'Kerala leads with 109 cases, while chhattisgarh has the least. deaths remain at zero.', 'duration': 30.549, 'max_score': 1105.239, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ1105239.jpg'}], 'start': 845.447, 'title': 'Covid-19 impact and data visualization', 'summary': 'Discusses the impact of covid-19 in india, including measures taken by the government and the analysis of 562 confirmed cases as of 22nd march 2020. it also demonstrates data visualization techniques, such as highlighting a data frame with a gradient background to represent the relationship between fatalities and confirmed cases across different regions.', 'chapters': [{'end': 1076.335, 'start': 845.447, 'title': 'Covid-19 impact in india', 'summary': 'Discusses the measures taken by the indian government to combat covid-19, including a nationwide lockdown, and the analysis of confirmed cases in india as of 22nd march 2020, revealing a total of 562 cases.', 'duration': 230.888, 'highlights': ['The Indian government declared a three-week nationwide lockdown, starting midnight Tuesday, to break the COVID-19 infection cycle, allowing essential services to remain open, and suspending all transport services until the 14th of April.', 'The total number of confirmed cases in India as of 22nd March 2020 was 562 cases, comprising both Indian nationals and foreign nationals.', "The data sets used for analysis have been procured from the government official website and John Hopkins University's updated dataset, ensuring the accuracy and reliability of the information presented.", 'The chapter emphasizes the importance of flattening the curve to delay the spread of the pandemic and reduce community transmission, aiming to bring the curve below the resources line to minimize the number of deaths caused by the disease.']}, {'end': 1226.948, 'start': 1081.997, 'title': 'Highlighting data frame with gradient background', 'summary': 'Demonstrates how to highlight a data frame using a gradient background, showcasing the relationship between the darkness of red cells and the number of fatalities, along with the distribution of confirmed cases across different states and union territories, and the process for calculating the total number of cases and coloring cells based on fatality rate.', 'duration': 144.951, 'highlights': ['The darker the red in each cell, the higher the number of fatalities, with Kerala having the largest number of confirmed cases at 109, followed by Maharashtra at 101, and Karnataka at 41, while Chhattisgarh has the least number of cases.', 'The death count as of 25th March 2020 is nine people, and Kerala currently has 109 cases with zero deaths.', 'The process for calculating the total number of cases involved adding the total number of Indian national cases and foreign national cases, followed by coloring each cell according to the fatality rate.', 'The chapter also focuses on identifying the number of active cases in different states and Union territories by subtracting the total number of deaths and recoveries from the total number of cases.']}], 'duration': 381.501, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ845447.jpg', 'highlights': ['The Indian government declared a three-week nationwide lockdown to break the COVID-19 infection cycle, allowing essential services to remain open.', 'The total number of confirmed cases in India as of 22nd March 2020 was 562 cases, comprising both Indian nationals and foreign nationals.', 'The darker the red in each cell, the higher the number of fatalities, with Kerala having the largest number of confirmed cases at 109, followed by Maharashtra at 101, and Karnataka at 41.', "The data sets used for analysis have been procured from the government official website and John Hopkins University's updated dataset, ensuring the accuracy and reliability of the information presented.", 'The chapter emphasizes the importance of flattening the curve to delay the spread of the pandemic and reduce community transmission, aiming to bring the curve below the resources line to minimize the number of deaths caused by the disease.']}, {'end': 1492.926, 'segs': [{'end': 1469.188, 'src': 'heatmap', 'start': 1354.696, 'weight': 0, 'content': [{'end': 1364.038, 'text': "We're going to use folium dot map and we have specified our location and we have zoomed into our geography.", 'start': 1354.696, 'duration': 9.342}, {'end': 1376.837, 'text': "We've also entered latitude and longitude and the values of the number of affected cases in a particular state, which is currently in a zip file,", 'start': 1365.114, 'duration': 11.723}, {'end': 1383.559, 'text': 'into our data frame, and we are going to display it in the form of a circle marker,', 'start': 1376.837, 'duration': 6.722}, {'end': 1388.06, 'text': 'whose size will depend on the number of cases in a particular state.', 'start': 1383.559, 'duration': 4.501}, {'end': 1405.797, 'text': 'So we have this map where you can see that Maharashtra has a really big circle, so does Kerala,', 'start': 1396.229, 'duration': 9.568}, {'end': 1410.982, 'text': 'and we have a couple of big circles in the North India as well.', 'start': 1405.797, 'duration': 5.185}, {'end': 1417.187, 'text': 'East is somehow less affected by this as we had seen in our table before.', 'start': 1411.002, 'duration': 6.185}, {'end': 1420.871, 'text': 'Let me just bring this here.', 'start': 1418.989, 'duration': 1.882}, {'end': 1422.412, 'text': 'Yeah, much better.', 'start': 1421.431, 'duration': 0.981}, {'end': 1427.923, 'text': 'There are a couple of other ways as well to read into the situation.', 'start': 1423.72, 'duration': 4.203}, {'end': 1431.646, 'text': 'Remember how we had imported the seaborn library?', 'start': 1428.323, 'duration': 3.323}, {'end': 1443.834, 'text': 'Here, basically, we are using seaborn for visualization, where we are going to plot a couple of bar plots showing the total number of cases per state,', 'start': 1431.666, 'duration': 12.168}, {'end': 1446.276, 'text': 'as well as the total number of cured cases.', 'start': 1443.834, 'duration': 2.442}, {'end': 1450.139, 'text': 'We are going to show the total number of cases in pink and the cured cases in green.', 'start': 1446.416, 'duration': 3.723}, {'end': 1458.924, 'text': 'So from this you can see that Kerala is the highest number of cases immediately followed by Karnataka.', 'start': 1453.462, 'duration': 5.462}, {'end': 1469.188, 'text': 'You can also deduce from this that Kerala, despite having the maximum number of cases, also has more amount of recoveries from Maharashtra,', 'start': 1459.484, 'duration': 9.704}], 'summary': 'Using folium dot map to visualize and compare covid-19 cases per state, maharashtra and kerala have the highest number of cases, while kerala also has a high number of recoveries.', 'duration': 85.629, 'max_score': 1354.696, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ1354696.jpg'}], 'start': 1226.948, 'title': 'Covid-19 data analysis in india', 'summary': 'Discusses the current covid-19 active cases in india, with 512 active cases and kerala, maharashtra, and karnataka having the highest numbers. it also focuses on visualizing indian covid-19 data over a geographical map using the folium library, with maharashtra and kerala being the most affected states and kerala having a higher recovery rate despite a high number of cases. the seaborn library is also used to illustrate the total and cured cases per state.', 'chapters': [{'end': 1301.738, 'start': 1226.948, 'title': 'Covid-19 active cases in india', 'summary': 'Discusses the current covid-19 active cases in india, where there are 512 active cases, with kerala, maharashtra, and karnataka having the highest numbers. it also explains the use of the group by function and the visualization of the data.', 'duration': 74.79, 'highlights': ['The total number of active cases in India is 512, with Kerala, Maharashtra, and Karnataka having the highest numbers.', 'The group by function is used to sort states and Union territories by their total active cases, similar to a pivot function in Excel or Power BI.', 'The visualization shows a gradient background, with Kerala having the maximum cases followed by Maharashtra, and Manipur, Mizoram, Chhattisgarh, and Puducherry having the lowest.']}, {'end': 1492.926, 'start': 1302.858, 'title': 'Geographical data visualization', 'summary': 'Focuses on visualizing indian covid-19 data over a geographical map using the folium library, with maharashtra and kerala being the most affected states and kerala having a higher recovery rate despite a high number of cases. the seaborn library is also used to illustrate the total and cured cases per state.', 'duration': 190.068, 'highlights': ['The folium library is used to populate a geographical map of India with COVID-19 data, displaying the number of affected cases in each state, with Maharashtra and Kerala being significantly impacted.', 'The seaborn library is utilized to create bar plots showing the total number of cases per state, with Kerala having the highest number of cases and a higher recovery rate compared to Maharashtra.', 'Kerala, despite having the highest number of cases, has a higher recovery rate than Maharashtra, indicating a lower net percentage of affected people in Kerala.', 'Maharashtra and Kerala have the highest number of COVID-19 cases, with Maharashtra being heavily impacted.', 'Uttar Pradesh and Haryana have relatively lower case counts but have also seen significant recoveries.']}], 'duration': 265.978, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ1226948.jpg', 'highlights': ['Kerala, Maharashtra, and Karnataka have the highest numbers of active COVID-19 cases in India.', 'The folium library is used to visualize Indian COVID-19 data over a geographical map, highlighting the impact on Maharashtra and Kerala.', 'Kerala has a higher recovery rate despite having a high number of COVID-19 cases.', 'The seaborn library is utilized to illustrate the total and cured cases per state, emphasizing the situation in Kerala and Maharashtra.']}, {'end': 2138.642, 'segs': [{'end': 1577.108, 'src': 'embed', 'start': 1545.521, 'weight': 4, 'content': [{'end': 1550.945, 'text': 'the first graph basically intends to show you the rise of covert 19 cases in India.', 'start': 1545.521, 'duration': 5.424}, {'end': 1559.052, 'text': 'We are basically using a scatter plot and we are using a line plus marker sort of a visualization,', 'start': 1551.346, 'duration': 7.706}, {'end': 1563.36, 'text': 'and we are also choosing the plot background color here.', 'start': 1559.918, 'duration': 3.442}, {'end': 1571.545, 'text': 'If you hover around this, you will get the date and the total number.', 'start': 1567.082, 'duration': 4.463}, {'end': 1577.108, 'text': 'and the best thing is, if you can just zoom between, say, March 1st and March 8th,', 'start': 1571.545, 'duration': 5.563}], 'summary': 'Graph displays rise in covid-19 cases in india using scatter plot and line marker visualization with zoom functionality.', 'duration': 31.587, 'max_score': 1545.521, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ1545521.jpg'}, {'end': 1778.114, 'src': 'embed', 'start': 1755.887, 'weight': 1, 'content': [{'end': 1764.295, 'text': "You can't see any breaks or kinks in the graph unlike India's and as you can see as of now, there are 69, 000 cases in Italy right now.", 'start': 1755.887, 'duration': 8.408}, {'end': 1772.731, 'text': 'Now this has happened because Italy took too much time to do what we are doing right now.', 'start': 1766.727, 'duration': 6.004}, {'end': 1778.114, 'text': "If I can just bring back India's graph right now, we are at 562 cases.", 'start': 1773.171, 'duration': 4.943}], 'summary': 'Italy has 69,000 cases due to delayed response, while india has 562 cases currently.', 'duration': 22.227, 'max_score': 1755.887, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ1755887.jpg'}, {'end': 1934.971, 'src': 'embed', 'start': 1909.145, 'weight': 2, 'content': [{'end': 1916.047, 'text': 'Now that is because China has started to adopt some artificial intelligence models,', 'start': 1909.145, 'duration': 6.902}, {'end': 1923.148, 'text': 'which has helped them diagnose people with flu on a very extensive scale.', 'start': 1916.047, 'duration': 7.101}, {'end': 1926.789, 'text': "I hope all of you must have heard about a company called Baidu's.", 'start': 1923.749, 'duration': 3.04}, {'end': 1931.69, 'text': 'Now they have come up with heat mapping on human bodies in China.', 'start': 1927.349, 'duration': 4.341}, {'end': 1934.971, 'text': 'This is machine learning at its best guys.', 'start': 1932.05, 'duration': 2.921}], 'summary': "China is using ai to diagnose flu on a large scale, demonstrated by baidu's heat mapping on human bodies.", 'duration': 25.826, 'max_score': 1909.145, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ1909145.jpg'}, {'end': 1990.347, 'src': 'embed', 'start': 1959.391, 'weight': 0, 'content': [{'end': 1967.294, 'text': 'That is how China and South Korea have led to reducing their daily cumulative COVID positive cases.', 'start': 1959.391, 'duration': 7.903}, {'end': 1978.025, 'text': 'Now, this radiographic detection of temperature, that is basically the technology through which China is picking out people for testing,', 'start': 1968.163, 'duration': 9.862}, {'end': 1986.566, 'text': 'has become their solution to facing this pandemic, and with a country as densely populated as China.', 'start': 1978.025, 'duration': 8.541}, {'end': 1990.347, 'text': 'They have a lot of data to work with.', 'start': 1986.946, 'duration': 3.401}], 'summary': 'China and south korea reduced daily covid cases using radiographic temperature detection technology.', 'duration': 30.956, 'max_score': 1959.391, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ1959391.jpg'}, {'end': 2067.226, 'src': 'embed', 'start': 2040.372, 'weight': 3, 'content': [{'end': 2046.638, 'text': 'but that brings up their recovery stats and that is their decision to follow.', 'start': 2040.372, 'duration': 6.266}, {'end': 2049.12, 'text': "but that's about China talking about India.", 'start': 2046.638, 'duration': 2.482}, {'end': 2059.235, 'text': 'If we have to flatten our curve, like I said, we have to test, test test, and We have to stop this infection from spreading as extensively as it is,', 'start': 2049.42, 'duration': 9.815}, {'end': 2061.478, 'text': 'as rapidly as it is now.', 'start': 2059.235, 'duration': 2.243}, {'end': 2067.226, 'text': 'when we talk about pandemics, the number of people that are going to be affected varies very little,', 'start': 2061.478, 'duration': 5.748}], 'summary': 'China discussing india, emphasizing on testing and stopping infection spread to flatten the curve amid a pandemic.', 'duration': 26.854, 'max_score': 2040.372, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2040372.jpg'}], 'start': 1492.926, 'title': 'Covid-19 trends', 'summary': 'Demonstrates the rise of covid-19 cases in india with a peak of 103 new cases on march 22nd, and compares the trends in india, italy, south korea, and wuhan, highlighting exponential growth, flattening of the curve, and use of testing and ai models in china and south korea.', 'chapters': [{'end': 1658.73, 'start': 1492.926, 'title': 'Covid-19 rise in india', 'summary': 'Demonstrates the rise of covid-19 cases in india using an interactive graph visualizing the trend from february to march, with a peak of 103 new cases on the 22nd of march.', 'duration': 165.804, 'highlights': ['The interactive graph using Plotly visualizes the rise of COVID-19 cases in India from February to March, with a peak of 103 new cases on the 22nd of March. The graph includes a scatter plot and a line plus marker visualization, allowing users to zoom in to view individual daily plots and observe the growth of cases over time.', 'The second graph depicts the daily number of COVID-19 cases in India, showing a gradual increase in cases from February to a peak of 103 new cases on the 22nd of March. This graph utilizes a simple bar chart to display the daily new cases, highlighting the significant rise in cases starting from March.']}, {'end': 2138.642, 'start': 1659.35, 'title': 'Comparing covid-19 trends in india, italy, south korea, and wuhan', 'summary': 'Compares the covid-19 trends in india, italy, south korea, and wuhan, highlighting the exponential growth in india and italy, successful flattening of the curve in south korea and wuhan, and the use of extensive testing and ai models in china and south korea to reduce the spread of the virus.', 'duration': 479.292, 'highlights': ['China and South Korea have successfully flattened the curve of COVID-19 cases through extensive testing and the use of AI models, leading to minimal increases in cases and eventual reduction in daily cumulative COVID positive cases.', "Italy's delayed response led to a sharp exponential increase in COVID-19 cases, with 69,000 cases reported, emphasizing the importance of early recognition and implementation of preventive measures.", "India's exponential growth in COVID-19 cases highlights the need for prompt actions such as lockdown and quarantine to flatten the curve and prevent extensive spread of the virus.", 'Wuhan, China, has successfully flattened the curve of COVID-19 cases by adopting artificial intelligence models and radiographic detection of temperature, leading to the decision to lift the three-month lockdown in the central Hubei province due to massive improvement in numbers.']}], 'duration': 645.716, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ1492926.jpg', 'highlights': ['China and South Korea flattened COVID-19 curve through extensive testing and AI models.', "Italy's delayed response led to sharp exponential increase in COVID-19 cases, with 69,000 cases reported.", 'Wuhan, China, successfully flattened COVID-19 curve by adopting AI models and radiographic detection of temperature.', "India's exponential growth in COVID-19 cases highlights the need for prompt actions such as lockdown and quarantine.", 'Interactive graph visualizes rise of COVID-19 cases in India with a peak of 103 new cases on March 22nd.']}, {'end': 2835.7, 'segs': [{'end': 2168.427, 'src': 'embed', 'start': 2140.343, 'weight': 0, 'content': [{'end': 2146.448, 'text': 'Moving on, now the comparison we did previously could be done in a common graph as well.', 'start': 2140.343, 'duration': 6.105}, {'end': 2155.035, 'text': 'So here we are, using Plotly again to strike a comparison between all of those countries Wuhan, South Korea,', 'start': 2146.868, 'duration': 8.167}, {'end': 2158.358, 'text': 'Italy and India and bringing them onto one canvas.', 'start': 2155.035, 'duration': 3.323}, {'end': 2168.427, 'text': 'Here as you can see the legend is given on the right the more number of cumulative cases per day the bluer your graph becomes.', 'start': 2160.12, 'duration': 8.307}], 'summary': 'Using plotly to compare cumulative cases per day in wuhan, south korea, italy, and india on a common graph.', 'duration': 28.084, 'max_score': 2140.343, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2140343.jpg'}, {'end': 2355.918, 'src': 'embed', 'start': 2327.172, 'weight': 1, 'content': [{'end': 2330.673, 'text': 'India has the minimum number of cases out of all the three countries.', 'start': 2327.172, 'duration': 3.501}, {'end': 2336.127, 'text': 'Both Italy and South Korea have crossed the mark of 5600 in the next 13 days.', 'start': 2331.604, 'duration': 4.523}, {'end': 2338.668, 'text': 'But is that the actual case?', 'start': 2336.807, 'duration': 1.861}, {'end': 2344.932, 'text': 'Are we talking about the total number of cases, or is it just the total number of reported cases??', 'start': 2339.228, 'duration': 5.704}, {'end': 2355.918, 'text': 'This brings me to the next section, where we are going to discuss the theories behind India having such low numbers when it comes to this pandemic.', 'start': 2346.573, 'duration': 9.345}], 'summary': 'India has the lowest number of reported covid-19 cases among three countries; next, we discuss the theories behind this phenomenon.', 'duration': 28.746, 'max_score': 2327.172, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2327172.jpg'}, {'end': 2410.309, 'src': 'embed', 'start': 2384.592, 'weight': 2, 'content': [{'end': 2396.684, 'text': 'one of the theories by experts is that India is testing below scale because of being under-resourced and an uneven public health system which could be swamped by patients.', 'start': 2384.592, 'duration': 12.092}, {'end': 2404.132, 'text': 'This further states that India could be buying up time to stock up on testing kits and add isolation and hospital beds.', 'start': 2397.405, 'duration': 6.727}, {'end': 2410.309, 'text': 'But the official assumption is that the disease has not spread in the community.', 'start': 2405.188, 'duration': 5.121}], 'summary': "India's testing is below scale due to under-resourcing, aiming to stock up on testing kits and add isolation and hospital beds.", 'duration': 25.717, 'max_score': 2384.592, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2384592.jpg'}, {'end': 2467.168, 'src': 'embed', 'start': 2434.145, 'weight': 3, 'content': [{'end': 2442.928, 'text': 'as a huge spike in the growth of coronavirus in India would do nothing more than create more fear more paranoia and more hype on the disease.', 'start': 2434.145, 'duration': 8.783}, {'end': 2446.889, 'text': 'But this is the case of our resources.', 'start': 2443.768, 'duration': 3.121}, {'end': 2455.192, 'text': 'according to the data and our government websites, India has eight doctors per 10, 000 people, compared to larger numbers in Italy and Korea.', 'start': 2446.889, 'duration': 8.303}, {'end': 2467.168, 'text': 'The medical resources are bleak and the poor culture of testing and people not going to doctors can lead to a sudden paranoia,', 'start': 2455.979, 'duration': 11.189}], 'summary': "India's limited medical resources and low testing culture may exacerbate coronavirus impact.", 'duration': 33.023, 'max_score': 2434.145, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2434145.jpg'}, {'end': 2835.7, 'src': 'embed', 'start': 2812.686, 'weight': 4, 'content': [{'end': 2825.074, 'text': 'the main body which is responsible for researching about coronavirus came up with a new method of counting patients that have been affected by COVID-19..', 'start': 2812.686, 'duration': 12.388}, {'end': 2835.7, 'text': 'So, on the 13th of February, there was a massive increase in the daily number of cases of people affected by the virus, but then,', 'start': 2825.454, 'duration': 10.246}], 'summary': 'New method for counting covid-19 patients led to a significant increase in daily cases on february 13th.', 'duration': 23.014, 'max_score': 2812.686, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2812686.jpg'}], 'start': 2140.343, 'title': 'Covid-19 analysis', 'summary': "Analyzes covid-19 cases in wuhan, south korea, italy, and india, with italy having 69,000 cases, south korea 9,000, and india 562. it explores india's lower cases, discusses testing capacity, and visualizes global impact.", 'chapters': [{'end': 2216.342, 'start': 2140.343, 'title': 'Covid-19 comparison graph', 'summary': 'Compares the cumulative covid-19 cases per day in wuhan, south korea, italy, and india, with italy having the highest number of cases at 69,000, followed by south korea at 9,000, and india at 562. the visualization using plotly provides an interactive and comprehensive comparison on one canvas, making it more impactful than the previous method.', 'duration': 75.999, 'highlights': ['The visualization using Plotly allows for a comprehensive comparison of the cumulative COVID-19 cases in Wuhan, South Korea, Italy, and India on one canvas, with Italy having the highest number of cases at 69,000, followed by South Korea at 9,000, and India at 562.', 'This visualization method is more impactful than the previous one, as it eliminates the need to scroll up and down and allows for an interactive comparison of all graphs on the same canvas.']}, {'end': 2835.7, 'start': 2217.182, 'title': 'Analyzing covid-19 trends and testing in india', 'summary': "Explores the progression of covid-19 cases in india, south korea, and italy, highlighting india's lower cases despite being densely populated, and discusses the theories behind india's low numbers, including testing capacity and healthcare resources. it further delves into worldwide data and visualizes the confirmed, recovered, and death cases, illustrating the impact of the pandemic globally.", 'duration': 618.518, 'highlights': ["India has the minimum number of cases out of all the three countries (South Korea, Italy, and India) after crossing a hundred cases. India's lower number of cases, despite being densely populated, is highlighted compared to South Korea and Italy.", "India is testing below scale due to being under-resourced and an uneven public health system, potentially buying time to stock up on testing kits and add isolation and hospital beds. The theory suggests that India's low testing capacity may be influenced by resource limitations and an uneven public health system.", "India has eight doctors per 10,000 people, compared to larger numbers in Italy and Korea, indicating limited medical resources. The comparison of doctor-to-population ratio highlights India's limited medical resources compared to Italy and Korea.", "A dip in COVID-19 cases on Feb 12 and a sudden rise on Feb 13 was due to a change in the method of counting affected patients, indicating the impact of data reporting on the pandemic's progression. The fluctuation in cases highlights the impact of changes in data reporting methods on the progression of the pandemic."]}], 'duration': 695.357, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2140343.jpg', 'highlights': ['The visualization using Plotly allows for a comprehensive comparison of the cumulative COVID-19 cases in Wuhan, South Korea, Italy, and India on one canvas, with Italy having the highest number of cases at 69,000, followed by South Korea at 9,000, and India at 562.', "India has the minimum number of cases out of all the three countries (South Korea, Italy, and India) after crossing a hundred cases. India's lower number of cases, despite being densely populated, is highlighted compared to South Korea and Italy.", "India is testing below scale due to being under-resourced and an uneven public health system, potentially buying time to stock up on testing kits and add isolation and hospital beds. The theory suggests that India's low testing capacity may be influenced by resource limitations and an uneven public health system.", "India has eight doctors per 10,000 people, compared to larger numbers in Italy and Korea, indicating limited medical resources. The comparison of doctor-to-population ratio highlights India's limited medical resources compared to Italy and Korea.", "A dip in COVID-19 cases on Feb 12 and a sudden rise on Feb 13 was due to a change in the method of counting affected patients, indicating the impact of data reporting on the pandemic's progression. The fluctuation in cases highlights the impact of changes in data reporting methods on the progression of the pandemic."]}, {'end': 3223.056, 'segs': [{'end': 2862.092, 'src': 'embed', 'start': 2835.7, 'weight': 1, 'content': [{'end': 2843.204, 'text': 'by the end of the day, they realized that was not the proper method of counting the number of fatalities or the number of patients,', 'start': 2835.7, 'duration': 7.504}, {'end': 2852.628, 'text': 'and hence they switched back to the original method, which is why the graph is smooth then on, but due to the change method in counting,', 'start': 2843.204, 'duration': 9.424}, {'end': 2862.092, 'text': 'the cumulative graph is obviously affected and hence its cues from being the perfect exponential graph that it had set out to be.', 'start': 2852.628, 'duration': 9.464}], 'summary': 'Improper counting method affected cumulative graph, deviating from perfect exponential trend.', 'duration': 26.392, 'max_score': 2835.7, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2835700.jpg'}, {'end': 2945.968, 'src': 'embed', 'start': 2915.279, 'weight': 0, 'content': [{'end': 2916.881, 'text': 'weekly and daily seasonality.', 'start': 2915.279, 'duration': 1.602}, {'end': 2924.652, 'text': 'Now, in my experience it actually works best with time series is that have a really good seasonality to them,', 'start': 2917.546, 'duration': 7.106}, {'end': 2930.297, 'text': "but that's the case with any forecasting package that you have now.", 'start': 2924.652, 'duration': 5.645}, {'end': 2934.421, 'text': 'the great part about profit is that it is Rob a store,', 'start': 2930.297, 'duration': 4.124}, {'end': 2940.987, 'text': 'missing data and shifts in the trend and typically really handles outliers in the graph really really well.', 'start': 2934.421, 'duration': 6.566}, {'end': 2945.968, 'text': 'for how fast it is in predicting and forecasting.', 'start': 2941.684, 'duration': 4.284}], 'summary': 'Profit software excels in handling seasonality, missing data, and outliers for fast and accurate forecasting.', 'duration': 30.689, 'max_score': 2915.279, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2915279.jpg'}, {'end': 3095.347, 'src': 'heatmap', 'start': 3002.853, 'weight': 2, 'content': [{'end': 3012.081, 'text': 'and the Y column is the values column, which must be a numeric measurement which needs to be a numeric measurement which we wish to forecast.', 'start': 3002.853, 'duration': 9.228}, {'end': 3023.613, 'text': "So now that we've done that here the two columns are DS and Y date stamp and values and this is for the confirmed data set that we have.", 'start': 3012.904, 'duration': 10.709}, {'end': 3030.979, 'text': "So let's run this and we have also chosen to show the tail of that data set.", 'start': 3024.153, 'duration': 6.826}, {'end': 3033.641, 'text': 'So we are getting the bottom five values.', 'start': 3031.379, 'duration': 2.262}, {'end': 3041.467, 'text': 'We are getting values of March 19 through 23rd and this is the value that we have as of now.', 'start': 3034.021, 'duration': 7.446}, {'end': 3050.343, 'text': 'Now, what we want to do is that we will generate a forecast for a week ahead of confirmed cases of this new coronavirus using profit.', 'start': 3042.856, 'duration': 7.487}, {'end': 3054.387, 'text': 'Now, most of you might wonder what this interval width is.', 'start': 3051.044, 'duration': 3.343}, {'end': 3061.294, 'text': "If you've taken AP statistics in high school or college, you would know that interval width is actually confidence.", 'start': 3055.048, 'duration': 6.246}, {'end': 3067.38, 'text': 'This is either given by decimal or it can be represented in percentage.', 'start': 3061.975, 'duration': 5.405}, {'end': 3079.203, 'text': 'What 0.95 or 95% actually means that there is still scope for 5% error or 0.05 error which means we are 95% sure that our forecast will be correct.', 'start': 3067.901, 'duration': 11.302}, {'end': 3088.566, 'text': 'So this is basically we are fitting our graph into our view and we are doing a forecast for a period of seven days.', 'start': 3079.924, 'duration': 8.642}, {'end': 3095.347, 'text': 'And again, we are going to show the tail of the table because we need the latest values or the values at the bottom.', 'start': 3089.506, 'duration': 5.841}], 'summary': 'Using prophet to forecast a week ahead for confirmed cases of coronavirus with 95% confidence.', 'duration': 52.491, 'max_score': 3002.853, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ3002853.jpg'}, {'end': 3193.95, 'src': 'embed', 'start': 3164.39, 'weight': 3, 'content': [{'end': 3169.691, 'text': 'So we are going to try to put it within a range with an upper limit and lower limit.', 'start': 3164.39, 'duration': 5.301}, {'end': 3176.712, 'text': "So at least the value does not deflect so much that it's basically we are setting up a tolerance for our forecast.", 'start': 3169.991, 'duration': 6.721}, {'end': 3184.667, 'text': 'So here you can see the value that has been predicted, which is y hat.', 'start': 3180.706, 'duration': 3.961}, {'end': 3189.008, 'text': 'here is the lower limit which we are predicting as low as the number can go.', 'start': 3184.667, 'duration': 4.341}, {'end': 3193.95, 'text': "and here is an upper limit, which means it's only as high as the number can go.", 'start': 3189.008, 'duration': 4.942}], 'summary': 'Setting up tolerance for forecast within range limits.', 'duration': 29.56, 'max_score': 3164.39, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ3164390.jpg'}], 'start': 2835.7, 'title': 'Covid-19 forecasting and prediction', 'summary': "Discusses challenges in counting covid-19 fatalities and patients, compares data from india, italy, south korea, and wuhan, introduces forecasting using facebook's prophet for handling missing data and outliers, and covers forecasting a week ahead with the profit method, providing a 95% forecast certainty.", 'chapters': [{'end': 2966.414, 'start': 2835.7, 'title': "Covid-19 forecasting with facebook's prophet", 'summary': "Discusses the challenges in counting fatalities and patients, compares india's data with italy, south korea, and wuhan, and introduces the forecasting and prediction section using facebook's prophet, emphasizing its effectiveness in handling missing data and outliers with tunable and automatic features.", 'duration': 130.714, 'highlights': ['The chapter discusses the challenges in counting fatalities and patients, leading to a change in counting method affecting the cumulative graph.', "Introduction of forecasting and prediction section using Facebook's Prophet, highlighting its effectiveness in handling missing data and outliers with tunable and automatic features.", "Facebook's Prophet is an open-source software used for forecasting time series data on an additive model with yearly, weekly, and daily seasonality, available for both R and Python.", 'The software is known for its ability to handle missing data, shifts in trend, and outliers, providing extremely accurate predictions despite being fully automatic.', "Facebook's Prophet works best with time series data having strong seasonality, and it can be downloaded for R from cran and for Python from pip."]}, {'end': 3223.056, 'start': 2966.874, 'title': 'Forecasting with profit method', 'summary': 'Covers using the profit method to forecast a week ahead of confirmed cases of the new coronavirus, explaining the interval width representing confidence, providing a 95% forecast certainty, and setting up a tolerance range for the forecast.', 'duration': 256.182, 'highlights': ['Explaining the interval width representing confidence The interval width, represented as 0.95 or 95%, means there is a 5% error margin, providing 95% forecast certainty.', 'Setting up a tolerance range for the forecast A tolerance range is set with upper and lower limits to ensure the forecast remains within a specified range.', 'Using Profit method to forecast a week ahead of confirmed cases of the new coronavirus The method is employed to generate a forecast for a period of seven days ahead of confirmed cases of the new coronavirus.']}], 'duration': 387.356, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ2835700.jpg', 'highlights': ["Introduction of forecasting and prediction section using Facebook's Prophet, highlighting its effectiveness in handling missing data and outliers with tunable and automatic features.", 'The chapter discusses the challenges in counting fatalities and patients, leading to a change in counting method affecting the cumulative graph.', 'Explaining the interval width representing confidence The interval width, represented as 0.95 or 95%, means there is a 5% error margin, providing 95% forecast certainty.', 'Setting up a tolerance range for the forecast A tolerance range is set with upper and lower limits to ensure the forecast remains within a specified range.', 'Using Profit method to forecast a week ahead of confirmed cases of the new coronavirus The method is employed to generate a forecast for a period of seven days ahead of confirmed cases of the new coronavirus.']}, {'end': 3653.407, 'segs': [{'end': 3272.298, 'src': 'embed', 'start': 3223.856, 'weight': 3, 'content': [{'end': 3229.638, 'text': "We have Sunday through Saturday, knowing that our number's going to start real high.", 'start': 3223.856, 'duration': 5.782}, {'end': 3235.311, 'text': "Now you can see there's a huge dip in Wednesday, and that makes a lot of sense,", 'start': 3230.509, 'duration': 4.802}, {'end': 3241.293, 'text': 'because there was a huge dip in the number of cases in China that particular day, which,', 'start': 3235.311, 'duration': 5.982}, {'end': 3251.357, 'text': "as we all have realized through the model that we've been creating, has been a huge contributor to populating the affected crowd,", 'start': 3241.293, 'duration': 10.064}, {'end': 3253.358, 'text': 'and then it has grown up naturally.', 'start': 3251.357, 'duration': 2.001}, {'end': 3261.45, 'text': 'Now another thing happened that Tuesday, which was the Janata curfew or the lockdown on the 22nd of March.', 'start': 3254.284, 'duration': 7.166}, {'end': 3263.731, 'text': 'Why do you think it was?', 'start': 3262.15, 'duration': 1.581}, {'end': 3272.298, 'text': 'Our Prime Minister announced a Janata curfew on Sunday and from the 24th of March there was a complete lockdown in the entire country.', 'start': 3264.292, 'duration': 8.006}], 'summary': "A significant dip in cases on wednesday due to decrease in china's cases. janata curfew and lockdown were announced on specific dates.", 'duration': 48.442, 'max_score': 3223.856, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ3223856.jpg'}, {'end': 3512.067, 'src': 'embed', 'start': 3480.91, 'weight': 1, 'content': [{'end': 3488.315, 'text': 'The pattern of rise of the spread of virus is exactly mimicking how it went up in Italy and South Korea.', 'start': 3480.91, 'duration': 7.405}, {'end': 3498.8, 'text': 'So a short request to all of you is that the moment you figure out symptoms in yourself, Go ahead and test, test, test.', 'start': 3488.945, 'duration': 9.855}, {'end': 3500.841, 'text': 'do not take your coffin cold lightly.', 'start': 3498.8, 'duration': 2.041}, {'end': 3512.067, 'text': 'This could be absolutely fatal to your health, especially if you are late middle-aged or you know somebody who is an elderly person.', 'start': 3501.101, 'duration': 10.966}], 'summary': 'Urgent testing is crucial as virus spread mirrors italy and south korea, especially for late middle-aged and elderly.', 'duration': 31.157, 'max_score': 3480.91, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ3480910.jpg'}, {'end': 3589.231, 'src': 'embed', 'start': 3538.706, 'weight': 0, 'content': [{'end': 3548.019, 'text': 'Remember the reason the number of cases in India are lower than these other countries is partly because the low number of reported cases in our country.', 'start': 3538.706, 'duration': 9.313}, {'end': 3554.768, 'text': 'Currently, we are an exponential contributor to the affected population of the world as well.', 'start': 3548.499, 'duration': 6.269}, {'end': 3562.174, 'text': 'Yes, the fatality has been predicted to be only 2% of the affected crowd,', 'start': 3555.328, 'duration': 6.846}, {'end': 3570.201, 'text': "but the forecasted crowd to be affected by COVID-19 is said to be around 60% of the world's entire population.", 'start': 3562.174, 'duration': 8.027}, {'end': 3575.84, 'text': 'which means the 2% that we are taking so lightly is nearly 8 crore people.', 'start': 3570.896, 'duration': 4.944}, {'end': 3582.085, 'text': "The Indian government's decision certainly confirms that there is something to worry about.", 'start': 3576.361, 'duration': 5.724}, {'end': 3589.231, 'text': 'So please stay indoors till the government asks you to do otherwise this will definitely help curb the situation.', 'start': 3582.225, 'duration': 7.006}], 'summary': "India's low reported cases contribute to global impact, 60% population at risk, 2% fatality rate, government urges caution.", 'duration': 50.525, 'max_score': 3538.706, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ3538706.jpg'}], 'start': 3223.856, 'title': 'Impact of lockdown on covid-19 cases and forecast worldwide', 'summary': 'Discusses the significant decrease in covid-19 cases in india due to lockdown measures, along with a forecasted 60% affected population and a 2% fatality rate, emphasizing the need for strict measures to curb the spread and urging individuals to take the pandemic seriously.', 'chapters': [{'end': 3297.867, 'start': 3223.856, 'title': 'Impact of lockdown on covid-19 cases', 'summary': 'Presents the impact of the janata curfew and lockdown in india, which led to a significant decrease in covid-19 cases, particularly due to the restrictions on international travel and the implementation of nationwide lockdown from march 24th.', 'duration': 74.011, 'highlights': ['The significant decrease in COVID-19 cases in India was observed on Wednesday, following a similar dip in the number of cases in China, demonstrating the impact of international trends on the affected crowd.', 'The implementation of the Janata curfew and subsequent nationwide lockdown in India from March 24th led to a reduction in scheduled international commercial travel and the cancellation of international flights, contributing to curbing the spread of the virus.', "The Prime Minister's announcement of the Janata curfew on Sunday, followed by the complete lockdown, played a crucial role in controlling the situation of the virus in the country.", 'The chapter emphasizes the positive impact of the lockdown and travel restrictions in India, highlighting the significant role of these measures in curbing the spread of COVID-19.', 'The interactive nature of the content encourages audience engagement, prompting viewers to share their thoughts in the comment section and fostering a sense of community participation in the discussion.']}, {'end': 3653.407, 'start': 3298.568, 'title': 'Covid-19 forecast and warning', 'summary': 'Forecasts worldwide deaths and recovered cases using a model, indicating a potential rise in cases in india and emphasizing the need for strict measures to curb the spread, with a forecasted 60% affected population and a 2% fatality rate, urging individuals to take the pandemic seriously and seek medical attention for symptoms.', 'duration': 354.839, 'highlights': ["The forecasted crowd to be affected by COVID-19 is said to be around 60% of the world's entire population. The forecast predicts around 60% of the global population to be affected by COVID-19, emphasizing the widespread impact of the pandemic.", 'The model indicates a potential rise in cases in India, mimicking the patterns seen in Italy and South Korea. The model suggests a potential surge in COVID-19 cases in India, reflecting the patterns observed in Italy and South Korea, highlighting the need for stringent measures to prevent a similar situation.', 'Forecasted fatality rate of approximately 2% for the affected population. The forecasted fatality rate for the affected population is estimated to be around 2%, underscoring the potential severity of the pandemic.']}], 'duration': 429.551, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/_Hi6_JQesSQ/pics/_Hi6_JQesSQ3223856.jpg', 'highlights': ["The forecasted crowd to be affected by COVID-19 is said to be around 60% of the world's entire population.", 'The model suggests a potential surge in COVID-19 cases in India, reflecting the patterns observed in Italy and South Korea, highlighting the need for stringent measures to prevent a similar situation.', 'The forecasted fatality rate for the affected population is estimated to be around 2%, underscoring the potential severity of the pandemic.', 'The significant decrease in COVID-19 cases in India was observed on Wednesday, following a similar dip in the number of cases in China, demonstrating the impact of international trends on the affected crowd.', 'The implementation of the Janata curfew and subsequent nationwide lockdown in India from March 24th led to a reduction in scheduled international commercial travel and the cancellation of international flights, contributing to curbing the spread of the virus.']}], 'highlights': ['India reported 562 total confirmed cases and 9 deaths due to COVID-19 as of 25th March.', 'The rapid rise of COVID-19 cases in India from six cases on March 2nd to over 550 cases, demonstrating the significant escalation of the pandemic.', 'The exponential nature of pandemic growth, leading to a rapid increase in cases from a seemingly minute problem to a significant stage.', 'The Indian government declared a three-week nationwide lockdown to break the COVID-19 infection cycle, allowing essential services to remain open.', 'Kerala, Maharashtra, and Karnataka have the highest numbers of active COVID-19 cases in India.', 'China and South Korea flattened COVID-19 curve through extensive testing and AI models.', "Italy's delayed response led to sharp exponential increase in COVID-19 cases, with 69,000 cases reported.", "India's exponential growth in COVID-19 cases highlights the need for prompt actions such as lockdown and quarantine.", 'The visualization using Plotly allows for a comprehensive comparison of the cumulative COVID-19 cases in Wuhan, South Korea, Italy, and India on one canvas, with Italy having the highest number of cases at 69,000, followed by South Korea at 9,000, and India at 562.', "Introduction of forecasting and prediction section using Facebook's Prophet, highlighting its effectiveness in handling missing data and outliers with tunable and automatic features.", "The forecasted crowd to be affected by COVID-19 is said to be around 60% of the world's entire population.", 'The model suggests a potential surge in COVID-19 cases in India, reflecting the patterns observed in Italy and South Korea, highlighting the need for stringent measures to prevent a similar situation.', 'The forecasted fatality rate for the affected population is estimated to be around 2%, underscoring the potential severity of the pandemic.', 'The significant decrease in COVID-19 cases in India was observed on Wednesday, following a similar dip in the number of cases in China, demonstrating the impact of international trends on the affected crowd.', 'The implementation of the Janata curfew and subsequent nationwide lockdown in India from March 24th led to a reduction in scheduled international commercial travel and the cancellation of international flights, contributing to curbing the spread of the virus.']}