title
Top 5 Data Science Projects/Ideas For Your Resume For Freshers From My Playlist- Must Watch🔥🔥🔥

description
Here is a list of data science projects that you can follow my playlist, so that it become easy for you to crack the interviews Bank Note Authentication: https://www.youtube.com/playlist?list=PLZoTAELRMXVNKtpy0U_Mx9N26w8n0hIbs Movie Recommendation: https://www.youtube.com/watch?v=A_78fGgQMjM&list=PLZoTAELRMXVPUyxuK8AphGMuIJHTyuWna&index=10&t=0s Flight Price Prediction: https://www.youtube.com/watch?v=y4EMEpEnElQ&list=PLZoTAELRMXVPUyxuK8AphGMuIJHTyuWna&index=9 Cotton Disease Prediction: https://www.youtube.com/watch?v=-vDwY1kOfNw&list=PLZoTAELRMXVPUyxuK8AphGMuIJHTyuWna&index=30 Stock Sentiment Analysis Using News Headlines: https://www.youtube.com/watch?v=HsI5YF6uxGs&list=PLZoTAELRMXVPUyxuK8AphGMuIJHTyuWna&index=6 Deployment Playlist: https://www.youtube.com/playlist?list=PLZoTAELRMXVOAvUbePX1lTdxQR8EY35Z1 Resume Dicussion For Data Scientist: https://www.youtube.com/watch?v=5b1Y7fHqmNw&list=PLZoTAELRMXVPUyxuK8AphGMuIJHTyuWna&index=4 Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join Please do subscribe my other channel too https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06 #datascienceprojects #machinelearning #deeplearning #computervision #nlp

detail
{'title': 'Top 5 Data Science Projects/Ideas For Your Resume For Freshers From My Playlist- Must Watch🔥🔥🔥', 'heatmap': [{'end': 948.866, 'start': 919.358, 'weight': 0.771}, {'end': 1087.207, 'start': 1037.256, 'weight': 0.7}], 'summary': "Covers data science projects' impact on job prospects, including helping over 690 subscribers land jobs, emphasizes google cloud ml projects, machine learning and web app projects, end-to-end ml projects, deployment strategies, and resume tips for freshers.", 'chapters': [{'end': 329.716, 'segs': [{'end': 71.774, 'src': 'embed', 'start': 30.177, 'weight': 0, 'content': [{'end': 39.387, 'text': "Now, as you all know, that I've already uploaded somewhere around 690, more than 690 videos, and I have implemented so many end to end projects,", 'start': 30.177, 'duration': 9.21}, {'end': 46.835, 'text': 'you know, and from past two to three months many of my subscribers are able to get internships, able to get jobs in various companies.', 'start': 39.387, 'duration': 7.448}, {'end': 53.08, 'text': 'i clearly spoke to them and i i just tried to understand that what all things they how, what?', 'start': 47.495, 'duration': 5.585}, {'end': 61.006, 'text': 'my youtube channel was helpful for them and they were talking about this all projects that they had actually mentioned in the resume also,', 'start': 53.08, 'duration': 7.926}, {'end': 67.031, 'text': 'and and they also gave me some feedbacks, chris, try to make a video wherein you tell that what kind of projects they have to put,', 'start': 61.006, 'duration': 6.025}, {'end': 71.774, 'text': 'because you have implemented most of the end-to-end projects with different different cloud servers itself.', 'start': 67.031, 'duration': 4.743}], 'summary': 'Over 690 videos uploaded, resulting in subscriber internships and jobs in past 2-3 months.', 'duration': 41.597, 'max_score': 30.177, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo30177.jpg'}, {'end': 139.916, 'src': 'embed', 'start': 112.878, 'weight': 1, 'content': [{'end': 116.981, 'text': 'Nowadays also, people are coming to me, Krish, can you review my resume?', 'start': 112.878, 'duration': 4.103}, {'end': 123.044, 'text': 'The one thing that I have actually seen in all the resume is that they just explain about that particular project.', 'start': 117.401, 'duration': 5.643}, {'end': 125.246, 'text': "They don't talk about deployment, you know.", 'start': 123.064, 'duration': 2.182}, {'end': 128.088, 'text': 'So what deployment techniques they have actually used.', 'start': 125.686, 'duration': 2.402}, {'end': 129.869, 'text': 'That is pretty much important.', 'start': 128.467, 'duration': 1.402}, {'end': 136.674, 'text': 'So we should try to mention the end to end project phenomena with respect to the project that you have been writing in your resume itself.', 'start': 130.149, 'duration': 6.525}, {'end': 139.916, 'text': 'The second thing is that prepare your GitHub profile.', 'start': 137.374, 'duration': 2.542}], 'summary': 'Resumes lack deployment details, emphasize github profile.', 'duration': 27.038, 'max_score': 112.878, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo112878.jpg'}, {'end': 201.348, 'src': 'embed', 'start': 168.698, 'weight': 2, 'content': [{'end': 170.519, 'text': 'keep on updating some or the other thing.', 'start': 168.698, 'duration': 1.821}, {'end': 171.739, 'text': 'try to change some projects.', 'start': 170.519, 'duration': 1.22}, {'end': 173.639, 'text': 'try to change some description.', 'start': 171.739, 'duration': 1.9}, {'end': 177.54, 'text': 'try to implement some more new things and put that in your resume.', 'start': 173.639, 'duration': 3.901}, {'end': 180.621, 'text': "if today you're not getting call, it from past one week, you're not getting called.", 'start': 177.54, 'duration': 3.081}, {'end': 185.022, 'text': "there is something wrong with your resume, even though you're a fresher, even though you're an experienced person.", 'start': 180.621, 'duration': 4.401}, {'end': 187.243, 'text': 'You need to keep on updating that.', 'start': 185.562, 'duration': 1.681}, {'end': 189.323, 'text': 'You need to keep on working on your resume itself.', 'start': 187.263, 'duration': 2.06}, {'end': 193.365, 'text': 'So with these three main factors, I think you will be able to get calls.', 'start': 189.764, 'duration': 3.601}, {'end': 195.045, 'text': 'The people who are able to get calls.', 'start': 193.445, 'duration': 1.6}, {'end': 201.348, 'text': 'that basically means your resume is outstanding when compared to the other people who are actually along with you.', 'start': 195.045, 'duration': 6.303}], 'summary': 'Regularly update and improve resume to increase job prospects and get more calls.', 'duration': 32.65, 'max_score': 168.698, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo168698.jpg'}], 'start': 14.226, 'title': 'Data science projects for resume', 'summary': 'Discusses the impact of youtube data science projects, helping over 690 subscribers land jobs, and emphasizes the need to include end-to-end projects in resumes and continuously update github profiles to increase job prospects.', 'chapters': [{'end': 92.016, 'start': 14.226, 'title': 'Best data science projects for resume', 'summary': 'Discusses the impact of implementing data science projects from the youtube playlist, which has helped over 690 subscribers land internships and jobs in various companies, prompting the need for a video to guide on project selection.', 'duration': 77.79, 'highlights': ['The YouTube channel has over 690 videos and has helped subscribers secure internships and jobs. The impact of the YouTube channel is quantified by the number of videos and the success of subscribers in securing internships and jobs.', 'Viewers requested a video guiding on the selection of projects for resumes, due to the implementation of end-to-end projects with different cloud servers. The need for the video is driven by viewer requests and the unique expertise in implementing end-to-end projects with different cloud servers.', "The focus of the video will be on data science projects from the channel's playlist, which have been implemented in live sessions and from end to end. The video will specifically highlight data science projects from the channel's playlist that have been implemented comprehensively in live sessions."]}, {'end': 329.716, 'start': 92.576, 'title': 'Project inclusion in resume', 'summary': 'Emphasizes the need to include end-to-end projects in resumes, prepare a comprehensive github profile, and continuously update and improve the resume to increase job prospects, with a focus on project deployment and implementation.', 'duration': 237.14, 'highlights': ['Importance of end-to-end projects in resumes and the need to mention deployment techniques used It is crucial to include end-to-end projects in resumes and highlight the deployment techniques used, as observed in resume reviews, to enhance job prospects.', 'Emphasis on comprehensive GitHub profile presentation and project details The importance of maintaining a well-presented GitHub profile with detailed project requirements, execution methods, and utilized libraries to increase job opportunities.', 'Continuous resume improvement and update for job prospects The need for continuous resume updates, project modifications, and implementation of new elements to address potential issues and increase job prospects, especially when not receiving job calls.', 'Project example: Banknote authentication end-to-end project with Docker and Flask The detailed explanation of a machine learning project, involving converting a Kaggle problem into a complete machine learning project, including model creation, deployment using Flask and Docker, as well as utilizing Streamlit framework.']}], 'duration': 315.49, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo14226.jpg', 'highlights': ['The YouTube channel has over 690 videos and has helped subscribers secure internships and jobs.', 'Importance of end-to-end projects in resumes and the need to mention deployment techniques used.', 'Continuous resume improvement and update for job prospects.', 'Viewers requested a video guiding on the selection of projects for resumes, due to the implementation of end-to-end projects with different cloud servers.']}, {'end': 470.725, 'segs': [{'end': 433.033, 'src': 'embed', 'start': 395.851, 'weight': 0, 'content': [{'end': 399.434, 'text': 'At least follow till the first till the sixth tutorial you will be able to understand it.', 'start': 395.851, 'duration': 3.583}, {'end': 401.677, 'text': 'And this is a complete end to end projects.', 'start': 399.875, 'duration': 1.802}, {'end': 403.659, 'text': 'You are using docker you are using this.', 'start': 402.097, 'duration': 1.562}, {'end': 410.526, 'text': 'There is one last project I think this was on some other use case where we had done the machine learning pipelines using docker and kubernetes.', 'start': 404.14, 'duration': 6.386}, {'end': 412.928, 'text': 'okay, so you can also specify this.', 'start': 411.227, 'duration': 1.701}, {'end': 416.509, 'text': 'this whole link of the playlist will be given in the description.', 'start': 412.928, 'duration': 3.581}, {'end': 422.25, 'text': "okay, so here i'm just trying to mention what all things we actually did in this project one.", 'start': 416.509, 'duration': 5.741}, {'end': 425.251, 'text': 'we have used machine learning models, which is pretty much required.', 'start': 422.25, 'duration': 3.001}, {'end': 427.092, 'text': 'we have used some deployment strategies.', 'start': 425.251, 'duration': 1.841}, {'end': 430.713, 'text': 'we have understood some web frameworks like flask, flasker, streamlit.', 'start': 427.092, 'duration': 3.621}, {'end': 433.033, 'text': 'that also we try to cover we have done.', 'start': 430.713, 'duration': 2.32}], 'summary': 'Completing the first six tutorials will enable understanding of the end-to-end project, covering machine learning models, deployment strategies, and web frameworks like flask and streamlit.', 'duration': 37.182, 'max_score': 395.851, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo395851.jpg'}, {'end': 478.389, 'src': 'embed', 'start': 451.559, 'weight': 1, 'content': [{'end': 456.721, 'text': 'just put it, uh, and just try to explain this, because that is what recruiters are looking at.', 'start': 451.559, 'duration': 5.162}, {'end': 461.302, 'text': 'you know and trust me, guys, just mention all these details in your resume.', 'start': 456.721, 'duration': 4.581}, {'end': 462.483, 'text': 'you will get the call.', 'start': 461.302, 'duration': 1.181}, {'end': 467.264, 'text': "whether you are a fresher, whether you are experienced person, just do it, okay, i've seen that.", 'start': 462.483, 'duration': 4.781}, {'end': 470.725, 'text': "i've seen some of my subscribers, many of my subscribers, doing that.", 'start': 467.264, 'duration': 3.461}, {'end': 474.066, 'text': 'okay, then this was the whole uh, tutorials.', 'start': 470.725, 'duration': 3.341}, {'end': 478.389, 'text': 'with respect to that, the project two, I.', 'start': 474.066, 'duration': 4.323}], 'summary': 'Include all details in your resume to get the call from recruiters, for both freshers and experienced professionals.', 'duration': 26.83, 'max_score': 451.559, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo451559.jpg'}], 'start': 329.716, 'title': 'Google cloud ml project and deployment', 'summary': 'Emphasizes the importance of a google cloud project for freshers, covering machine learning algorithms, deployment strategies, and web frameworks like flask, flasker, and streamlit, and it emphasizes showcasing these details in resumes to increase the chances of getting calls from recruiters.', 'chapters': [{'end': 470.725, 'start': 329.716, 'title': 'Google cloud ml project and deployment', 'summary': 'Highlights the importance of a google cloud project for freshers, covering machine learning algorithms, deployment strategies, and web frameworks like flask, flasker, and streamlit. the speaker emphasizes the significance of showcasing these details in resumes to increase the chances of getting calls from recruiters.', 'duration': 141.009, 'highlights': ['The project involves using machine learning models, deployment strategies, and web frameworks like Flask, Flasker, and Streamlit, which are emphasized as crucial for freshers.', "The speaker encourages viewers to include these project details in their resumes, stating that it will increase the likelihood of receiving calls from recruiters, based on the speaker's observations of their subscribers' success.", 'The speaker provides a comprehensive video tutorial playlist covering topics such as Docker installation, machine learning model deployment, Docker commands, and building and running Docker images, emphasizing the importance of following the tutorials to understand the project.', 'The project also involves machine learning pipelines using Docker and Kubernetes, with the speaker advising viewers to specify this in their resumes and providing a link to the tutorial playlist for reference.', 'The importance of showcasing the project details in resumes is reiterated for both fresher and experienced individuals, with an assurance from the speaker based on the success of their subscribers.']}], 'duration': 141.009, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo329716.jpg', 'highlights': ['The project involves using machine learning models, deployment strategies, and web frameworks like Flask, Flasker, and Streamlit, which are emphasized as crucial for freshers.', "The speaker encourages viewers to include these project details in their resumes, stating that it will increase the likelihood of receiving calls from recruiters, based on the speaker's observations of their subscribers' success.", 'The project also involves machine learning pipelines using Docker and Kubernetes, with the speaker advising viewers to specify this in their resumes and providing a link to the tutorial playlist for reference.', 'The importance of showcasing the project details in resumes is reiterated for both fresher and experienced individuals, with an assurance from the speaker based on the success of their subscribers.', 'The speaker provides a comprehensive video tutorial playlist covering topics such as Docker installation, machine learning model deployment, Docker commands, and building and running Docker images, emphasizing the importance of following the tutorials to understand the project.']}, {'end': 664.191, 'segs': [{'end': 512.446, 'src': 'embed', 'start': 470.725, 'weight': 0, 'content': [{'end': 474.066, 'text': 'okay, then this was the whole uh, tutorials.', 'start': 470.725, 'duration': 3.341}, {'end': 478.389, 'text': 'with respect to that, the project two, I.', 'start': 474.066, 'duration': 4.323}, {'end': 481.131, 'text': 'what I did is that one machine learning project we have taken.', 'start': 478.389, 'duration': 2.742}, {'end': 486.894, 'text': "now we have also, I've also taken this recommendation system project, and this is a movie recommendation system.", 'start': 481.131, 'duration': 5.763}, {'end': 487.914, 'text': 'this just not a movie.', 'start': 486.894, 'duration': 1.02}, {'end': 491.136, 'text': 'recommend a system where we are just doing some coding and finding out your model.', 'start': 487.914, 'duration': 3.222}, {'end': 496.839, 'text': 'no, this is completely end-to-end, okay, and this also we had actually taken in a live project.', 'start': 491.136, 'duration': 5.703}, {'end': 501.062, 'text': 'okay, I think the person who had actually made this whole project was something.', 'start': 496.839, 'duration': 4.223}, {'end': 502.643, 'text': 'his name was Christian Lal.', 'start': 501.062, 'duration': 1.581}, {'end': 507.424, 'text': 'okay, and So again, if I go to this video, let me just see where is the video.', 'start': 502.643, 'duration': 4.781}, {'end': 509.865, 'text': 'So here you can see movie recommendation system.', 'start': 507.784, 'duration': 2.081}, {'end': 512.446, 'text': 'You can see the credits given to Kishanlal.', 'start': 510.345, 'duration': 2.101}], 'summary': 'The project involved creating a movie recommendation system, attributed to kishanlal, as an end-to-end, live project.', 'duration': 41.721, 'max_score': 470.725, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo470725.jpg'}, {'end': 631.094, 'src': 'embed', 'start': 589.153, 'weight': 3, 'content': [{'end': 592.997, 'text': 'Let it be collaborative, other kind of recommendation systems itself.', 'start': 589.153, 'duration': 3.844}, {'end': 597.301, 'text': 'But you need to know because the interviewer may ask, right? with respect to them.', 'start': 593.017, 'duration': 4.284}, {'end': 598.744, 'text': 'This is specifically for freshers.', 'start': 597.342, 'duration': 1.402}, {'end': 605.995, 'text': 'Guys, for experienced people, you know, you can also put up this particular project, but try to put up projects based on your domain.', 'start': 599.305, 'duration': 6.69}, {'end': 607.417, 'text': 'That will be also important.', 'start': 606.035, 'duration': 1.382}, {'end': 610.181, 'text': 'Okay, now the project three.', 'start': 607.698, 'duration': 2.483}, {'end': 618.907, 'text': 'this is also an amazing project, uh, and this is in the domain of airline industry, that is, flight fare prediction, web app projects with deployment.', 'start': 610.181, 'duration': 8.726}, {'end': 622.249, 'text': 'so this also, uh, in short, was a kaggle project.', 'start': 618.907, 'duration': 3.342}, {'end': 626.051, 'text': 'guys, and you know i tried to convert this.', 'start': 622.249, 'duration': 3.802}, {'end': 629.193, 'text': 'i think it was a kaggle or it was some hackathon competition project.', 'start': 626.051, 'duration': 3.142}, {'end': 631.094, 'text': 'i guess it was a kaggle project itself.', 'start': 629.193, 'duration': 1.901}], 'summary': 'Recommendation systems project for freshers, airline industry project for experienced professionals, kaggle or hackathon competition project.', 'duration': 41.941, 'max_score': 589.153, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo589153.jpg'}, {'end': 678.375, 'src': 'embed', 'start': 652.146, 'weight': 5, 'content': [{'end': 658.129, 'text': 'the whole description end-to-end and there are a lot of data pre-processing that we have actually done in this particular project, guys,', 'start': 652.146, 'duration': 5.983}, {'end': 659.57, 'text': 'And it is pretty much important.', 'start': 658.129, 'duration': 1.441}, {'end': 662.311, 'text': 'So lot of data pre-processing we have actually done.', 'start': 660.03, 'duration': 2.281}, {'end': 664.191, 'text': 'I have also shown how to do the deployment.', 'start': 662.691, 'duration': 1.5}, {'end': 678.375, 'text': 'Now here you can see that you can put the date like suppose I want to travel on 2nd of October and my departure date, arrival date and suppose,', 'start': 664.211, 'duration': 14.164}], 'summary': 'Extensive data pre-processing and deployment demonstration in the project.', 'duration': 26.229, 'max_score': 652.146, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo652146.jpg'}], 'start': 470.725, 'title': 'Machine learning and web app projects', 'summary': 'Covers a machine learning project on a movie recommendation system, and three web app projects with deployment, including end-to-end application and flight fare prediction, emphasizing recommendation systems and domain-specific projects. it credits christian lal and kishanlal for the movie recommendation system.', 'chapters': [{'end': 512.446, 'start': 470.725, 'title': 'Machine learning project: movie recommendation system', 'summary': 'Covered a machine learning project involving a movie recommendation system, which was taken as a live project and credited to christian lal and kishanlal.', 'duration': 41.721, 'highlights': ['The project involved a machine learning project and a recommendation system project, specifically focused on a movie recommendation system.', 'The movie recommendation system was an end-to-end project, not merely coding, and was taken as a live project.', 'The project was credited to Christian Lal and Kishanlal.']}, {'end': 664.191, 'start': 512.885, 'title': 'Web app projects with deployment', 'summary': 'Discusses three web app projects with deployment, including an amazing end-to-end application and a flight fare prediction web app, emphasizing the importance of recommendation systems and domain-specific projects.', 'duration': 151.306, 'highlights': ['The chapter discusses three web app projects with deployment, including an amazing end-to-end application and a flight fare prediction web app. The transcript discusses the three web app projects with deployment, showcasing the implementation of an amazing end-to-end application and a flight fare prediction web app.', 'Emphasizes the importance of recommendation systems and domain-specific projects. The importance of recommendation systems and domain-specific projects for freshers and experienced individuals is highlighted, urging consideration of projects based on their domain.', 'Mentions data pre-processing and deployment implementation in the flight fare prediction web app project. The transcript highlights the extensive data pre-processing and deployment implementation in the flight fare prediction web app project, emphasizing their significance.']}], 'duration': 193.466, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo470725.jpg', 'highlights': ['The project involved a machine learning project and a recommendation system project, specifically focused on a movie recommendation system.', 'The movie recommendation system was an end-to-end project, not merely coding, and was taken as a live project.', 'The project was credited to Christian Lal and Kishanlal.', 'The chapter discusses three web app projects with deployment, including an amazing end-to-end application and a flight fare prediction web app.', 'Emphasizes the importance of recommendation systems and domain-specific projects for freshers and experienced individuals.', 'Mentions data pre-processing and deployment implementation in the flight fare prediction web app project.']}, {'end': 977.702, 'segs': [{'end': 785.479, 'src': 'embed', 'start': 730.554, 'weight': 0, 'content': [{'end': 737.497, 'text': 'the previous one was the different domain and here the banknote authentication end-to-end project is a different domain itself.', 'start': 730.554, 'duration': 6.943}, {'end': 740.878, 'text': 'okay, so this domain knowledge is pretty much important.', 'start': 737.497, 'duration': 3.381}, {'end': 743.559, 'text': "this can be in banking domain, right, i've also covered banking domain.", 'start': 740.878, 'duration': 2.681}, {'end': 745.28, 'text': 'Okay, now coming to the next thing.', 'start': 744.139, 'duration': 1.141}, {'end': 746.9, 'text': 'This is pretty much important.', 'start': 745.82, 'duration': 1.08}, {'end': 748.641, 'text': 'This is a deep learning project, guys.', 'start': 746.92, 'duration': 1.721}, {'end': 752.283, 'text': 'Here we are trying to do the cotton disease leaf predictions.', 'start': 749.242, 'duration': 3.041}, {'end': 753.804, 'text': 'Cotton leaves disease prediction.', 'start': 752.343, 'duration': 1.461}, {'end': 758.266, 'text': 'You know, there were different, different cotton leaves, you know, with different, different categories.', 'start': 754.144, 'duration': 4.122}, {'end': 762.808, 'text': 'And this was also, I think, a Kaggle project, which we have already covered.', 'start': 758.326, 'duration': 4.482}, {'end': 764.729, 'text': 'It has an end-to-end project itself.', 'start': 763.228, 'duration': 1.501}, {'end': 767.33, 'text': 'Okay? So, this is also an amazing project.', 'start': 765.009, 'duration': 2.321}, {'end': 770.552, 'text': 'With the help of this project, any kind of classification projects can be done.', 'start': 767.63, 'duration': 2.922}, {'end': 771.953, 'text': 'Like in the healthcare.', 'start': 770.592, 'duration': 1.361}, {'end': 774.654, 'text': 'suppose you have Lung disease prediction.', 'start': 771.953, 'duration': 2.701}, {'end': 780.797, 'text': 'you have different COVID situation predictions, basically based on the lung x-ray you want to predict.', 'start': 774.654, 'duration': 6.143}, {'end': 781.397, 'text': 'you can do that.', 'start': 780.797, 'duration': 0.6}, {'end': 785.479, 'text': 'Tomato disease, tomato leaves disease classification also you can do.', 'start': 781.757, 'duration': 3.722}], 'summary': 'Banknote authentication and cotton disease prediction projects covered, including kaggle project with end-to-end implementation.', 'duration': 54.925, 'max_score': 730.554, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo730554.jpg'}, {'end': 868.557, 'src': 'embed', 'start': 844.122, 'weight': 3, 'content': [{'end': 850.186, 'text': 'Yes, if it is more than 500 MB, then either you have to go with AWS EC2 instance, you can go with Google Cloud and all.', 'start': 844.122, 'duration': 6.064}, {'end': 851.827, 'text': "Again, I'll show you how to do that.", 'start': 850.226, 'duration': 1.601}, {'end': 854.99, 'text': "There is a playlist for that specifically that I've created.", 'start': 852.388, 'duration': 2.602}, {'end': 858.512, 'text': 'Okay, now coming to this, this is my live project.', 'start': 855.47, 'duration': 3.042}, {'end': 860.153, 'text': 'of cotton disease prediction.', 'start': 858.992, 'duration': 1.161}, {'end': 862.634, 'text': 'all this link will be given in the description, guys.', 'start': 860.153, 'duration': 2.481}, {'end': 865.135, 'text': 'so yes, and the credit for the data set.', 'start': 862.634, 'duration': 2.501}, {'end': 868.557, 'text': 'i, the data set goes to akash jade.', 'start': 865.135, 'duration': 3.422}], 'summary': 'For large files over 500 mb, options like aws ec2 or google cloud can be considered, with a specific playlist available. the project involves cotton disease prediction, and the dataset credit goes to akash jade.', 'duration': 24.435, 'max_score': 844.122, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo844122.jpg'}, {'end': 962.277, 'src': 'heatmap', 'start': 919.358, 'weight': 4, 'content': [{'end': 925.662, 'text': 'But make sure that guys whatever project you select from this, you basically try to implement it in the same way.', 'start': 919.358, 'duration': 6.304}, {'end': 930.804, 'text': "So here I think I've taken around six to seven projects again going back to my this one.", 'start': 926.002, 'duration': 4.802}, {'end': 934.626, 'text': 'So here it is live project sentiment analysis using news headlines and machine learning.', 'start': 930.984, 'duration': 3.642}, {'end': 938.268, 'text': 'This is where you will be finding the GitHub link and everything as such.', 'start': 935.087, 'duration': 3.181}, {'end': 945.623, 'text': 'Okay Coming back to this project itself, the sixth project also, I really want to mention one thing.', 'start': 938.649, 'duration': 6.974}, {'end': 948.866, 'text': 'These are the five projects that I have actually mentioned.', 'start': 946.744, 'duration': 2.122}, {'end': 951.208, 'text': 'Again, there are many projects as I told you.', 'start': 949.286, 'duration': 1.922}, {'end': 955.551, 'text': 'If you take this project, you can actually do any kind of image classification.', 'start': 951.708, 'duration': 3.843}, {'end': 962.277, 'text': 'Let it be traffic sign, let it be lung disease, let it be other kind of disease, let it be with respect to image classification, you can do that.', 'start': 955.571, 'duration': 6.706}], 'summary': 'Select and implement one project from six to seven options, including sentiment analysis and image classification.', 'duration': 36.275, 'max_score': 919.358, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo919358.jpg'}], 'start': 664.211, 'title': 'End-to-end ml projects and deployment', 'summary': 'Covers various end-to-end ml projects, such as flight price prediction, banknote authentication, and cotton disease leaf prediction, emphasizing domain knowledge and applicability. it also discusses deploying ml models, recommending ec2 instance for models larger than 500 mb, and provides an overview of live projects, datasets, natural language processing, and classification projects.', 'chapters': [{'end': 802.068, 'start': 664.211, 'title': 'End-to-end projects overview', 'summary': 'Discusses various end-to-end projects including flight price prediction, banknote authentication, and cotton disease leaf prediction, with emphasis on domain knowledge and applicability in different scenarios.', 'duration': 137.857, 'highlights': ['The chapter covers various end-to-end projects including flight price prediction, banknote authentication, and cotton disease leaf prediction. The chapter discusses different projects such as flight price prediction, banknote authentication, and cotton disease leaf prediction.', 'Emphasis is placed on the importance of domain knowledge and the applicability of the projects in different domains such as banking, healthcare, and image classification. The importance of domain knowledge and the applicability of the projects in various domains like banking, healthcare, and image classification is highlighted.', 'The discussion includes the potential applicability of the projects in different scenarios, such as lung disease prediction, COVID situation predictions, and tomato leaves disease classification. The potential applicability of the projects in different scenarios like lung disease prediction, COVID situation predictions, and tomato leaves disease classification is discussed.']}, {'end': 977.702, 'start': 802.068, 'title': 'Deploying machine learning models', 'summary': 'Discusses deploying machine learning models and recommends using ec2 instance in aws or google cloud for models larger than 500 mb, with a mention of live projects and their datasets, and a brief overview of natural language processing projects and different classification projects.', 'duration': 175.634, 'highlights': ['The chapter discusses deploying machine learning models and recommends using EC2 instance in AWS or Google Cloud for models larger than 500 MB The transcript highlights the importance of using EC2 instance in AWS or Google Cloud for deploying machine learning models larger than 500 MB, providing practical advice for deployment.', 'Mention of live projects and their datasets The chapter mentions live projects such as cotton disease prediction and stock sentiment analysis, along with their respective datasets and links, offering insight into practical applications of machine learning.', 'Brief overview of natural language processing projects and different classification projects The transcript briefly introduces natural language processing projects like stock sentiment analysis and mentions the versatility of classification projects, including image classification, flight price prediction, and recommendation systems.']}], 'duration': 313.491, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo664211.jpg', 'highlights': ['The chapter covers various end-to-end projects including flight price prediction, banknote authentication, and cotton disease leaf prediction.', 'Emphasis is placed on the importance of domain knowledge and the applicability of the projects in different domains such as banking, healthcare, and image classification.', 'The potential applicability of the projects in different scenarios like lung disease prediction, COVID situation predictions, and tomato leaves disease classification is discussed.', 'The chapter discusses deploying machine learning models and recommends using EC2 instance in AWS or Google Cloud for models larger than 500 MB.', 'Mention of live projects such as cotton disease prediction and stock sentiment analysis, along with their respective datasets and links, offering insight into practical applications of machine learning.', 'The transcript briefly introduces natural language processing projects like stock sentiment analysis and mentions the versatility of classification projects, including image classification, flight price prediction, and recommendation systems.']}, {'end': 1309.917, 'segs': [{'end': 1017.903, 'src': 'embed', 'start': 977.702, 'weight': 0, 'content': [{'end': 983.444, 'text': 'the next step is that you have to go with the deployment playlist, as i told you that in heroku you have a limit of somewhere around 500 to 600 mb.', 'start': 977.702, 'duration': 5.742}, {'end': 991.688, 'text': 'So make sure that if it is exceeding that, you try to deploy it in another cloud right?', 'start': 984.924, 'duration': 6.764}, {'end': 999.872, 'text': 'So, if I go over here, so I have implemented with the help of Heroku, using Flask AWS EC2 instance.', 'start': 991.828, 'duration': 8.044}, {'end': 1004.455, 'text': 'you can see deployment of machine learning models in Google Cloud Platform in Azure Cloud.', 'start': 999.872, 'duration': 4.583}, {'end': 1005.935, 'text': 'So I have covered everything over here.', 'start': 1004.475, 'duration': 1.46}, {'end': 1008.117, 'text': 'You can also implement along with the Dockers.', 'start': 1006.276, 'duration': 1.841}, {'end': 1012.079, 'text': 'From my Docker playlist, you can actually see how it is actually implemented, okay?', 'start': 1008.397, 'duration': 3.682}, {'end': 1017.903, 'text': 'uh, coming to the next thing now, once you are you, you have thought about your project.', 'start': 1013.179, 'duration': 4.724}], 'summary': 'Deployment on heroku has a 500-600 mb limit, consider other clouds. also covers deployment on google cloud platform, azure, and docker.', 'duration': 40.201, 'max_score': 977.702, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo977702.jpg'}, {'end': 1087.207, 'src': 'heatmap', 'start': 1037.256, 'weight': 0.7, 'content': [{'end': 1039.317, 'text': 'So all this link will be given in the description.', 'start': 1037.256, 'duration': 2.061}, {'end': 1042.299, 'text': 'You just have to follow them and you have to just try to implement them.', 'start': 1039.357, 'duration': 2.942}, {'end': 1046.781, 'text': 'You can also take my resume template if you want and you can basically start with that.', 'start': 1042.638, 'duration': 4.143}, {'end': 1053.106, 'text': 'But again, the main thing that you always have to think on what are the common questions that freshers usually have.', 'start': 1047.402, 'duration': 5.704}, {'end': 1054.687, 'text': "Krish, I'm a fresher.", 'start': 1053.686, 'duration': 1.001}, {'end': 1056.668, 'text': "I don't have any experience of working.", 'start': 1054.747, 'duration': 1.921}, {'end': 1059.329, 'text': 'People are asking two to three experience what to do.', 'start': 1056.708, 'duration': 2.621}, {'end': 1061.451, 'text': 'In that specific way.', 'start': 1060.45, 'duration': 1.001}, {'end': 1067.895, 'text': "guys, don't focus on that kind of jobs, because they are jobs which are related to internships and which are related to junior data scientist.", 'start': 1061.451, 'duration': 6.444}, {'end': 1075.92, 'text': 'If I talk about iNeuron guys, just this year they have hired within the time span of 3 to 4 months, they hired more than 25 people.', 'start': 1068.235, 'duration': 7.685}, {'end': 1082.464, 'text': 'Just imagine and all of them who are getting hired as a fresher, they are getting a junior data scientist role.', 'start': 1076.64, 'duration': 5.824}, {'end': 1087.207, 'text': 'So you will be getting an intern role, you will be getting a junior data scientist role.', 'start': 1083.465, 'duration': 3.742}], 'summary': 'Ineuron hired over 25 freshers as junior data scientists in 3-4 months.', 'duration': 49.951, 'max_score': 1037.256, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo1037256.jpg'}, {'end': 1089.809, 'src': 'embed', 'start': 1060.45, 'weight': 4, 'content': [{'end': 1061.451, 'text': 'In that specific way.', 'start': 1060.45, 'duration': 1.001}, {'end': 1067.895, 'text': "guys, don't focus on that kind of jobs, because they are jobs which are related to internships and which are related to junior data scientist.", 'start': 1061.451, 'duration': 6.444}, {'end': 1075.92, 'text': 'If I talk about iNeuron guys, just this year they have hired within the time span of 3 to 4 months, they hired more than 25 people.', 'start': 1068.235, 'duration': 7.685}, {'end': 1082.464, 'text': 'Just imagine and all of them who are getting hired as a fresher, they are getting a junior data scientist role.', 'start': 1076.64, 'duration': 5.824}, {'end': 1087.207, 'text': 'So you will be getting an intern role, you will be getting a junior data scientist role.', 'start': 1083.465, 'duration': 3.742}, {'end': 1089.809, 'text': 'Yes, they also have hired so many interns.', 'start': 1087.527, 'duration': 2.282}], 'summary': 'Ineuron hired over 25 people as junior data scientists in 3-4 months, some as interns.', 'duration': 29.359, 'max_score': 1060.45, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo1060450.jpg'}, {'end': 1176.646, 'src': 'embed', 'start': 1149.464, 'weight': 5, 'content': [{'end': 1152.447, 'text': 'You know, there are people asking that many years of experience, right?', 'start': 1149.464, 'duration': 2.983}, {'end': 1158.152, 'text': "So in this particular way, here I've actually shown you how you should find the jobs, what you should focus on.", 'start': 1152.907, 'duration': 5.245}, {'end': 1166.44, 'text': 'A fresher should focus on one specific area, that is internship, that is associate roles or junior data scientist roles.', 'start': 1158.632, 'duration': 7.808}, {'end': 1169.542, 'text': 'okay, you cannot just be a data scientist directly.', 'start': 1166.96, 'duration': 2.582}, {'end': 1171.223, 'text': 'first of all, you need to gain experience.', 'start': 1169.542, 'duration': 1.681}, {'end': 1176.646, 'text': 'so search those kind of jobs in linkedin, keep your resume updated every day, talk about internships.', 'start': 1171.223, 'duration': 5.423}], 'summary': 'Fresher should focus on internships, associate roles or junior data scientist roles to gain experience and search for these jobs on linkedin.', 'duration': 27.182, 'max_score': 1149.464, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo1149464.jpg'}, {'end': 1286.709, 'src': 'embed', 'start': 1257.994, 'weight': 6, 'content': [{'end': 1260.916, 'text': "so in my next video what i'll do is that i'll take a kaggle problem statement.", 'start': 1257.994, 'duration': 2.922}, {'end': 1266.001, 'text': "i'll convert that into an end-to-end project and show you how you can also do that same work.", 'start': 1260.916, 'duration': 5.085}, {'end': 1270.523, 'text': 'and that should be the main task, because people will think, okay, from where should i get the data?', 'start': 1266.001, 'duration': 4.522}, {'end': 1271.963, 'text': 'kaggle is already there.', 'start': 1270.523, 'duration': 1.44}, {'end': 1275.345, 'text': 'just try to convert that whole project into a machine learning or deep learning project.', 'start': 1271.963, 'duration': 3.382}, {'end': 1277.305, 'text': 'try to implement it at an end-to-end project.', 'start': 1275.345, 'duration': 1.96}, {'end': 1280.987, 'text': 'so if you really want this kind of project in the next video, please do comment down.', 'start': 1277.305, 'duration': 3.682}, {'end': 1284.648, 'text': 'just say that krish will be happy to see that specific project itself right.', 'start': 1280.987, 'duration': 3.661}, {'end': 1286.709, 'text': 'So I hope you like this particular video.', 'start': 1285.248, 'duration': 1.461}], 'summary': 'Convert a kaggle problem into an end-to-end ml/dl project in the next video.', 'duration': 28.715, 'max_score': 1257.994, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo1257994.jpg'}], 'start': 977.702, 'title': 'Deployment and resume tips', 'summary': 'Covers deployment considerations in heroku, alternative cloud platforms, and docker implementation, as well as providing resume tips for data scientists, including the importance of internships and converting kaggle projects into end-to-end ml or dl projects.', 'chapters': [{'end': 1017.903, 'start': 977.702, 'title': 'Deployment playlist and cloud platform options', 'summary': 'Discusses the deployment process, emphasizing the requirement to consider the deployment limit in heroku, the option to deploy in another cloud, and the coverage of deployment in google cloud platform and azure cloud, with a mention of implementation with dockers.', 'duration': 40.201, 'highlights': ['The chapter discusses the deployment process, emphasizing the requirement to consider the deployment limit in Heroku, the option to deploy in another cloud, and the coverage of deployment in Google Cloud Platform and Azure Cloud, with a mention of implementation with Dockers.', 'The deployment limit in Heroku is around 500 to 600 mb, and if it exceeds that, deployment in another cloud is recommended.', 'The coverage includes deployment in Google Cloud Platform and Azure Cloud, along with implementation using Dockers.', 'Implementation with the help of Heroku and Flask AWS EC2 instance is mentioned.']}, {'end': 1309.917, 'start': 1017.903, 'title': 'Data scientist resume tips & project ideas', 'summary': 'Focuses on how to tailor a data scientist resume for freshers and experienced professionals, emphasizing on the importance of internships and junior data scientist roles, and suggests converting kaggle projects into end-to-end machine learning or deep learning projects for skill enhancement.', 'duration': 292.014, 'highlights': ['iNeuron hired more than 25 people as junior data scientists within 3 to 4 months, indicating the demand for junior data scientist roles and internships. iNeuron hired over 25 people as junior data scientists within 3 to 4 months, highlighting the demand for junior data scientist roles and internships.', 'Emphasizes the importance of focusing on internships, associate roles, or junior data scientist roles for freshers, and suggests updating resume with relevant internship experiences. Emphasizes the importance of focusing on internships, associate roles, or junior data scientist roles for freshers, and suggests updating resume with relevant internship experiences.', 'Suggests converting Kaggle projects into end-to-end machine learning or deep learning projects and proposes to demonstrate this in the next video. Suggests converting Kaggle projects into end-to-end machine learning or deep learning projects and proposes to demonstrate this in the next video.']}], 'duration': 332.215, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/FNfBR7ZnyWo/pics/FNfBR7ZnyWo977702.jpg', 'highlights': ['The deployment limit in Heroku is around 500 to 600 mb, and if it exceeds that, deployment in another cloud is recommended.', 'The chapter discusses the deployment process, emphasizing the requirement to consider the deployment limit in Heroku, the option to deploy in another cloud, and the coverage of deployment in Google Cloud Platform and Azure Cloud, with a mention of implementation with Dockers.', 'The coverage includes deployment in Google Cloud Platform and Azure Cloud, along with implementation using Dockers.', 'Implementation with the help of Heroku and Flask AWS EC2 instance is mentioned.', 'iNeuron hired more than 25 people as junior data scientists within 3 to 4 months, indicating the demand for junior data scientist roles and internships.', 'Emphasizes the importance of focusing on internships, associate roles, or junior data scientist roles for freshers, and suggests updating resume with relevant internship experiences.', 'Suggests converting Kaggle projects into end-to-end machine learning or deep learning projects and proposes to demonstrate this in the next video.']}], 'highlights': ['The YouTube channel has over 690 videos and has helped subscribers secure internships and jobs.', 'iNeuron hired more than 25 people as junior data scientists within 3 to 4 months, indicating the demand for junior data scientist roles and internships.', 'The project involves using machine learning models, deployment strategies, and web frameworks like Flask, Flasker, and Streamlit, which are emphasized as crucial for freshers.', 'The deployment limit in Heroku is around 500 to 600 mb, and if it exceeds that, deployment in another cloud is recommended.', 'The chapter covers various end-to-end projects including flight price prediction, banknote authentication, and cotton disease leaf prediction.']}