title
Python Projects For Beginners | Python Projects Examples | Python Tutorial | Edureka

description
πŸ”΅ Edureka Python Certification Training (Use Code "π˜πŽπ”π“π”ππ„πŸπŸŽ"): https://www.edureka.co/python-programming-certification-training This Edureka video on Python Projects will help you establish a foothold on Python by helping you assess and obtain skills which are used to design, develop and analyze projects built in Python. 1. Introduction to Python 2. Installation and Working with Python 3. Python Projects- 3levels 4. Practical approach - Code πŸ”₯ Python Masters Program: https://bit.ly/30ClQk3 Python Tutorial Playlist: https://goo.gl/WsBpKe Blog Series: http://bit.ly/2sqmP4s #pythonprojects #pythonprogramming #pythontutorial #PythonTraining #PythonEdureka #Edureka Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV Introducing Edureka Elevate, a one of its kind software development program where you only pay the program fees once you get a top tech job. If you are a 4th year engineering student or a fresh graduate, this program is open to you! Learn more: http://bit.ly/39Nhxnm 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 ----------------------------------------------------------------------------------------------------------------------------------- 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 Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience. After completing this Machine Learning Certification Training using Python, you should be able to: Gain insight into the 'Roles' played by a Machine Learning Engineer Automate data analysis using python Describe Machine Learning Work with real-time data Learn tools and techniques for predictive modeling Discuss Machine Learning algorithms and their implementation Validate Machine Learning algorithms Explain Time Series and it’s related concepts Gain expertise to handle business in future, living the present - - - - - - - - - - - - - - - - - - - Why learn Machine Learning with Python? Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning. For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

detail
{'title': 'Python Projects For Beginners | Python Projects Examples | Python Tutorial | Edureka', 'heatmap': [{'end': 572.931, 'start': 472.882, 'weight': 0.939}, {'end': 662.113, 'start': 638.149, 'weight': 0.818}], 'summary': "Introduces python projects at three levels, discusses python's popularity, beginner-friendly nature, and powerful features, covers the implementation of a hangman game with a 10-turn limit, delves into intermediate level libraries and 3d graph plotting, visualizes data using matplotlib with various perspectives and introduces deep learning training and python with pytorch achieving 66% accuracy for planes and 79% for cars in just two passes.", 'chapters': [{'end': 244.286, 'segs': [{'end': 65.339, 'src': 'embed', 'start': 28.02, 'weight': 2, 'content': [{'end': 37.684, 'text': 'Well, the focus is to basically on approaching the language in the easiest way possible and to find out what it has to offer for the community and all of the learning enthusiasts out here.', 'start': 28.02, 'duration': 9.664}, {'end': 41.489, 'text': "So without further ado, let's begin by checking out the agenda for the session.", 'start': 38.248, 'duration': 3.241}, {'end': 47.472, 'text': "We'll start with the introduction of python and later move to installing and working with python followed by that.", 'start': 42.05, 'duration': 5.422}, {'end': 53.514, 'text': "We look at the overview of all of the concepts and I'll walk you through the three levels of python projects that you can consider.", 'start': 47.532, 'duration': 5.982}, {'end': 56.976, 'text': 'and lastly, we look at how easy it is to actually code with python,', 'start': 53.514, 'duration': 3.462}, {'end': 60.617, 'text': "where we'll take a programming approach and then learn the concepts through the code.", 'start': 56.976, 'duration': 3.641}, {'end': 65.339, 'text': "So right guys, let's begin by checking out what python actually is.", 'start': 61.557, 'duration': 3.782}], 'summary': 'Session focuses on easy approach to python, covering installation, projects, and coding concepts.', 'duration': 37.319, 'max_score': 28.02, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA28020.jpg'}, {'end': 172.834, 'src': 'embed', 'start': 137.796, 'weight': 0, 'content': [{'end': 143.799, 'text': 'It is very beginner friendly and the syntax is extremely simple to read, and this definitely makes us all happy.', 'start': 137.796, 'duration': 6.003}, {'end': 147.08, 'text': 'and surely, yes, python has millions of happy learners across the globe.', 'start': 143.799, 'duration': 3.281}, {'end': 150.161, 'text': "I can't begin to tell you how fun it is to work with python.", 'start': 147.44, 'duration': 2.721}, {'end': 155.343, 'text': "So, now that we know the features of python, let's take a look at why you should consider learning python right?", 'start': 150.661, 'duration': 4.682}, {'end': 157.998, 'text': 'Well, Python is a general-purpose language.', 'start': 155.996, 'duration': 2.002}, {'end': 165.586, 'text': 'It has a wide range of applications, from web development like Django and bottle, scientific and mathematical computations like orange, sim,', 'start': 158.359, 'duration': 7.227}, {'end': 172.834, 'text': 'pi and numpy and all of that, to designing your own graphical user interfaces by making use of pi game and Panda 3D, and all of that right?', 'start': 165.586, 'duration': 7.248}], 'summary': 'Python has millions of happy learners worldwide, with wide applications and simple syntax.', 'duration': 35.038, 'max_score': 137.796, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA137796.jpg'}, {'end': 240.985, 'src': 'embed', 'start': 209.748, 'weight': 5, 'content': [{'end': 211.609, 'text': 'We have something called as Google Collaboratory.', 'start': 209.748, 'duration': 1.861}, {'end': 215.27, 'text': 'Well, it is basically a Jupiter notebook hosted on the Google Cloud.', 'start': 212.069, 'duration': 3.201}, {'end': 217.531, 'text': "Well, don't worry about this just yet.", 'start': 215.711, 'duration': 1.82}, {'end': 221.293, 'text': "I'll be walking you through collab when we are looking at the code in the later part of the session.", 'start': 217.551, 'duration': 3.742}, {'end': 228.276, 'text': 'We also need to check out some of the development environments or IDs for short so that we can use it to write python code in.', 'start': 221.753, 'duration': 6.523}, {'end': 231.203, 'text': 'Well, we have pider for Eclipse spy charm.', 'start': 228.962, 'duration': 2.241}, {'end': 234.684, 'text': 'Then we have notepad plus plus and blue fish for all you Mac users as well.', 'start': 231.243, 'duration': 3.441}, {'end': 236.444, 'text': 'And we have Komodo and vim2.', 'start': 235.004, 'duration': 1.44}, {'end': 240.985, 'text': 'Well, these are some of the many IDs out there that you can use to develop the code in.', 'start': 237.064, 'duration': 3.921}], 'summary': 'Introducing google collaboratory and various ides for python development.', 'duration': 31.237, 'max_score': 209.748, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA209748.jpg'}], 'start': 11.294, 'title': 'Python projects and popularity', 'summary': "Introduces python projects at three levels and coding with python, and discusses python's popularity, beginner-friendly nature, powerful features, wide applications, and installation guidance.", 'chapters': [{'end': 65.339, 'start': 11.294, 'title': 'Introduction to python projects', 'summary': 'Introduces python projects, aimed at helping learners kickstart their python learning journey and gain insights into the language, covering three levels of python projects and coding with python.', 'duration': 54.045, 'highlights': ['The session focuses on introducing Python projects for learners to kickstart their learning journey about Python and gain insights into the language, aimed at the community and learning enthusiasts.', 'The chapter covers three levels of Python projects that learners can consider, providing them with options for practical application of their Python skills.', 'The session also includes a walkthrough on how easy it is to code with Python, allowing learners to take a programming approach and learn concepts through practical coding.']}, {'end': 244.286, 'start': 66.288, 'title': 'Why python is popular and beginner-friendly', 'summary': "Discusses the reasons for python's popularity, including its beginner-friendly nature, powerful features, and wide range of applications, and also provides guidance on installing python and choosing development environments.", 'duration': 177.998, 'highlights': ['Python has a large and active community, making it one of the most popular programming languages with millions of happy learners across the globe. Python has one of the largest communities for learners and collaborators for a programming language, making it a popular choice with millions of happy learners globally.', "Python's beginner-friendly nature and simple syntax make it an excellent choice for learners, allowing them to focus on problem-solving rather than syntax intricacies. Python is very beginner friendly, with an extremely simple syntax to read, allowing learners to focus on problem-solving rather than syntax intricacies.", "Python's wide range of applications, from web development to scientific and mathematical computations, and its clear syntax with relatively short code length, contribute to its popularity. Python's wide range of applications, clear syntax, and relatively short code length contribute to its popularity as a general-purpose language.", 'Guidance on installing Python and choosing development environments, including the availability of Google Collaboratory and various IDEs, is provided. The chapter provides guidance on installing Python and choosing development environments, including the availability of Google Collaboratory and various IDEs for writing Python code.']}], 'duration': 232.992, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA11294.jpg', 'highlights': ['Python has a large and active community, making it one of the most popular programming languages with millions of happy learners across the globe.', "Python's wide range of applications, from web development to scientific and mathematical computations, and its clear syntax with relatively short code length, contribute to its popularity.", 'The chapter covers three levels of Python projects that learners can consider, providing them with options for practical application of their Python skills.', 'The session also includes a walkthrough on how easy it is to code with Python, allowing learners to take a programming approach and learn concepts through practical coding.', "Python's beginner-friendly nature and simple syntax make it an excellent choice for learners, allowing them to focus on problem-solving rather than syntax intricacies.", 'Guidance on installing Python and choosing development environments, including the availability of Google Collaboratory and various IDEs, is provided.', 'The session focuses on introducing Python projects for learners to kickstart their learning journey about Python and gain insights into the language, aimed at the community and learning enthusiasts.']}, {'end': 695.883, 'segs': [{'end': 331.243, 'src': 'embed', 'start': 244.946, 'weight': 0, 'content': [{'end': 250.148, 'text': "So now we have the environment set right? So what's next? Well, let us look at python trends here.", 'start': 244.946, 'duration': 5.202}, {'end': 252.308, 'text': 'I have for you a chart from Stack Overflow.', 'start': 250.208, 'duration': 2.1}, {'end': 254.769, 'text': 'Look at the growth of python from its inception.', 'start': 252.768, 'duration': 2.001}, {'end': 262.819, 'text': "So it's basically showing how many people are engaging with Stack Overflow and viewing questions related to Python and all of the top trending data science.", 'start': 255.416, 'duration': 7.403}, {'end': 264.62, 'text': 'jobs use Python mainly as well.', 'start': 262.819, 'duration': 1.801}, {'end': 266.901, 'text': 'Well Python is growing exponentially guys.', 'start': 265.1, 'duration': 1.801}, {'end': 268.001, 'text': 'You can see it here, right?', 'start': 266.921, 'duration': 1.08}, {'end': 272.683, 'text': "So if you don't believe me, believe the numbers value established that it is trendy,", 'start': 268.181, 'duration': 4.502}, {'end': 276.564, 'text': 'but now we need a foundation to go about learning Python for our projects, right?', 'start': 272.683, 'duration': 3.881}, {'end': 283.267, 'text': 'Well, it all starts with learning all the basics and the fundamentals to go about learning Python for our projects, guys.', 'start': 277.205, 'duration': 6.062}, {'end': 289.044, 'text': 'and this will basically tell you how comfortable you are with python as a language on the whole later.', 'start': 284.142, 'duration': 4.902}, {'end': 295.967, 'text': "You'll have to look at code and work your way from there connect next would be to definitely look at what python is being used for in real life.", 'start': 289.084, 'duration': 6.883}, {'end': 302.149, 'text': 'This will play a major role in finding out why you have to learn python right and followed by that.', 'start': 296.607, 'duration': 5.542}, {'end': 306.991, 'text': 'This is definitely to look at what projects you can tackle with the current knowledge you have.', 'start': 302.309, 'duration': 4.682}, {'end': 311.213, 'text': 'well, diving into the depth of python will help you to assess yourself at every stage as well.', 'start': 306.991, 'duration': 4.222}, {'end': 316.34, 'text': 'Guys projects are basically used to solve a problem at hand correct when you think about it.', 'start': 311.869, 'duration': 4.471}, {'end': 317.644, 'text': 'It is as simple as that.', 'start': 316.38, 'duration': 1.264}, {'end': 325.922, 'text': 'If providing solutions to various simple and complex problem is your kind of a thing, then you should definitely consider working on projects,', 'start': 318.32, 'duration': 7.602}, {'end': 331.243, 'text': 'and after you have got your hands dirty with a couple of projects, you will be one step closer to mastering Python.', 'start': 325.922, 'duration': 5.321}], 'summary': 'Python is growing exponentially, with a large number of people engaging with stack overflow and viewing python-related questions, and many top trending data science jobs also using python.', 'duration': 86.297, 'max_score': 244.946, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA244946.jpg'}, {'end': 576.974, 'src': 'heatmap', 'start': 455.779, 'weight': 6, 'content': [{'end': 459.621, 'text': "Well, I'm sure all of us have played hangman at one point of time in our lives, right?", 'start': 455.779, 'duration': 3.842}, {'end': 462.722, 'text': 'So it is basically a game where you guess the word.', 'start': 460.161, 'duration': 2.561}, {'end': 463.843, 'text': 'it is as simple as that.', 'start': 462.722, 'duration': 1.121}, {'end': 465.524, 'text': 'So we have a hidden word.', 'start': 464.443, 'duration': 1.081}, {'end': 468.425, 'text': 'We ask the user to first figure out what it is.', 'start': 466.144, 'duration': 2.281}, {'end': 472.087, 'text': 'We then give the user a certain number of tries to achieve it.', 'start': 469.266, 'duration': 2.821}, {'end': 474.963, 'text': 'If successful then the word guess is right.', 'start': 472.882, 'duration': 2.081}, {'end': 482.605, 'text': "If not, you just ran out of attempts guys pretty simple, right? So let's quickly look at the code and figure out how it works.", 'start': 475.543, 'duration': 7.062}, {'end': 489.487, 'text': "So, guys, I quickly opened up my pie charm, and this is the development environment that I'll be using for this particular project.", 'start': 483.985, 'duration': 5.502}, {'end': 492.784, 'text': 'Let me quickly walk you through the code in a pseudocode format, right?', 'start': 490.163, 'duration': 2.621}, {'end': 495.324, 'text': 'So, on the whole, let me explain well.', 'start': 493.304, 'duration': 2.02}, {'end': 498.465, 'text': 'first, we actually ask for the number of attempts that the user can make.', 'start': 495.324, 'duration': 3.141}, {'end': 500.546, 'text': 'I have to make sure that it is positive, right?', 'start': 498.465, 'duration': 2.081}, {'end': 505.027, 'text': 'So you can have one attempt to attempt, three attempts to guess the word, and we can keep a limit on that.', 'start': 500.566, 'duration': 4.461}, {'end': 509.528, 'text': "So let's say, you know something less than 26 or something and then we have a words file.", 'start': 505.087, 'duration': 4.441}, {'end': 513.429, 'text': 'We actually open the word file and we select a random word from there,', 'start': 509.808, 'duration': 3.621}, {'end': 518.751, 'text': "and then we'll have a while loop to actually guess the number of attempts and the letters which are remaining in that particular word.", 'start': 513.429, 'duration': 5.322}, {'end': 521.953, 'text': 'and you might be wondering what the status of the game is right?', 'start': 519.491, 'duration': 2.462}, {'end': 526.278, 'text': "So obviously we're going to keep printing the current status of the game at every point of time.", 'start': 522.434, 'duration': 3.844}, {'end': 531.102, 'text': "This is done basically using a for loop and we can ask for the next letter and we're going to make it lower right?", 'start': 526.558, 'duration': 4.544}, {'end': 535.605, 'text': "So we need to make sure that the input is a single letter that hasn't been guessed previously.", 'start': 531.402, 'duration': 4.203}, {'end': 542.461, 'text': 'If the letter is in the word, we tell the user that the letter in his word exists, else we actually decrement the attempt to counter,', 'start': 536.126, 'duration': 6.335}, {'end': 548.365, 'text': 'because your attempt decreases, and we notify the user in the same time saying that the letter that he used is actually not in the word.', 'start': 542.461, 'duration': 5.904}, {'end': 553.949, 'text': 'If the word is salt we notify the user that he won else we notify the user that he is lost.', 'start': 548.705, 'duration': 5.244}, {'end': 558.24, 'text': 'And lastly, we actually give the player the option to try again.', 'start': 554.637, 'duration': 3.603}, {'end': 559.421, 'text': 'sounds pretty simple, right?', 'start': 558.24, 'duration': 1.181}, {'end': 562.023, 'text': 'Well, let me quickly go ahead and tell you the code right now.', 'start': 559.681, 'duration': 2.342}, {'end': 563.824, 'text': "pretty much it is the same as what I've explained.", 'start': 562.023, 'duration': 1.801}, {'end': 565.866, 'text': 'force will be importing the time module.', 'start': 563.824, 'duration': 2.042}, {'end': 568.147, 'text': 'next will be welcoming the user by typing out his name.', 'start': 565.866, 'duration': 2.281}, {'end': 572.931, 'text': "We're going to wait for a second and then we have the word right? So the word is set to the keyword secret.", 'start': 568.167, 'duration': 4.764}, {'end': 576.974, 'text': "We're going to be creating a variable with an empty value determining the number of tons.", 'start': 573.411, 'duration': 3.563}], 'summary': 'The transcript discusses a hangman game code, allowing users a specific number of attempts to guess a word from a file. the game involves loops, conditionals, and user interaction.', 'duration': 121.195, 'max_score': 455.779, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA455779.jpg'}, {'end': 526.278, 'src': 'embed', 'start': 495.324, 'weight': 7, 'content': [{'end': 498.465, 'text': 'first, we actually ask for the number of attempts that the user can make.', 'start': 495.324, 'duration': 3.141}, {'end': 500.546, 'text': 'I have to make sure that it is positive, right?', 'start': 498.465, 'duration': 2.081}, {'end': 505.027, 'text': 'So you can have one attempt to attempt, three attempts to guess the word, and we can keep a limit on that.', 'start': 500.566, 'duration': 4.461}, {'end': 509.528, 'text': "So let's say, you know something less than 26 or something and then we have a words file.", 'start': 505.087, 'duration': 4.441}, {'end': 513.429, 'text': 'We actually open the word file and we select a random word from there,', 'start': 509.808, 'duration': 3.621}, {'end': 518.751, 'text': "and then we'll have a while loop to actually guess the number of attempts and the letters which are remaining in that particular word.", 'start': 513.429, 'duration': 5.322}, {'end': 521.953, 'text': 'and you might be wondering what the status of the game is right?', 'start': 519.491, 'duration': 2.462}, {'end': 526.278, 'text': "So obviously we're going to keep printing the current status of the game at every point of time.", 'start': 522.434, 'duration': 3.844}], 'summary': 'The program allows users to make a limited number of attempts to guess a random word from a file, providing continuous game status updates.', 'duration': 30.954, 'max_score': 495.324, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA495324.jpg'}, {'end': 665.634, 'src': 'heatmap', 'start': 638.149, 'weight': 0.818, 'content': [{'end': 642.43, 'text': 'So, guys, the program is run now and we can check out it as asking we starting a game of hangman right?', 'start': 638.149, 'duration': 4.281}, {'end': 644.49, 'text': 'So how many incorrect attempts do you want?', 'start': 642.77, 'duration': 1.72}, {'end': 646.65, 'text': 'So let us say we require 15 attempts for everything.', 'start': 644.53, 'duration': 2.12}, {'end': 650.971, 'text': 'What is the minimum word length that we want, right? So let us pick five.', 'start': 647.311, 'duration': 3.66}, {'end': 654.492, 'text': 'So it has selected a word for us and we have 15 attempts.', 'start': 651.451, 'duration': 3.041}, {'end': 662.113, 'text': 'Can you just guess one letter? Let us say a it says that the a is available, right? So we need to choose the next letter as well.', 'start': 655.192, 'duration': 6.921}, {'end': 665.634, 'text': 'So let us check out to be well B is also there.', 'start': 662.553, 'duration': 3.081}], 'summary': "A program is run with 15 attempts and 5-letter word, guessing letters 'a' and 'b'.", 'duration': 27.485, 'max_score': 638.149, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA638149.jpg'}], 'start': 244.946, 'title': "Python's growth and hangman game", 'summary': "Discusses python's exponential growth in data science jobs, emphasizing the need to learn its basics, and covers the implementation of a hangman game in python with a 10-turn limit.", 'chapters': [{'end': 495.324, 'start': 244.946, 'title': 'Python trends and projects', 'summary': 'Discusses the exponential growth of python as shown by stack overflow data, emphasizing its relevance in data science jobs and the need to learn its basics and fundamentals for project development. it also highlights the importance of real-life applications, project assessment, and mastering python through easy, intermediate, and advanced level projects.', 'duration': 250.378, 'highlights': ['The exponential growth of Python is evidenced by the increasing engagement with Stack Overflow and the use of Python in top trending data science jobs.', "Learning Python for projects starts with understanding the basics and fundamentals, and assessing one's comfort level with the language.", 'Understanding real-life applications of Python plays a major role in motivating the need to learn the language.', 'Project assessment in Python helps individuals evaluate their progress and assess their ability to solve real-world problems.', 'Mastering Python involves working on projects that range from simple programs to advanced applications like artificial intelligence, allowing individuals to implement their learning and skills effectively.', 'The discussion includes examples of easy, intermediate, and advanced level projects in Python, emphasizing a gradual progression in complexity for skill development.', 'The chapter provides a detailed explanation of the process of problem-solving with Python, starting from simple programs to advanced applications like the hangman game.', 'The hangman game is presented as an example of a simple project in Python, emphasizing the process of problem analysis, solution implementation, and user interaction.']}, {'end': 695.883, 'start': 495.324, 'title': 'Hangman game implementation', 'summary': 'Explains the implementation of a hangman game in python, covering the process of setting the number of attempts, selecting a random word, guessing letters, and determining the game outcome with a 10-turn limit.', 'duration': 200.559, 'highlights': ['The implementation covers the process of setting the number of attempts, selecting a random word, and determining the game outcome with a 10-turn limit. The chapter explains the implementation of a hangman game in Python, covering the process of setting the number of attempts, selecting a random word, guessing letters, and determining the game outcome with a 10-turn limit.', 'The user can set the number of incorrect attempts and the minimum word length, with the example using 15 attempts and a 5-letter word. The program allows the user to set the number of incorrect attempts and the minimum word length, with the example using 15 attempts and a 5-letter word.', 'The game tracks the number of attempts remaining and displays the current status of the game at every point of time. The game tracks the number of attempts remaining and displays the current status of the game at every point of time.']}], 'duration': 450.937, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA244946.jpg', 'highlights': ["Python's exponential growth evidenced by increasing engagement with Stack Overflow and use in top trending data science jobs.", 'Learning Python for projects starts with understanding basics, fundamentals, and assessing comfort level with the language.', 'Understanding real-life applications of Python plays a major role in motivating the need to learn the language.', 'Project assessment in Python helps individuals evaluate their progress and assess their ability to solve real-world problems.', 'Mastering Python involves working on projects ranging from simple programs to advanced applications like artificial intelligence.', 'Chapter provides a detailed explanation of problem-solving with Python, starting from simple programs to advanced applications like the hangman game.', 'Hangman game is presented as an example of a simple project in Python, emphasizing the process of problem analysis, solution implementation, and user interaction.', 'Implementation covers setting the number of attempts, selecting a random word, and determining the game outcome with a 10-turn limit.']}, {'end': 896.103, 'segs': [{'end': 747.816, 'src': 'embed', 'start': 708.712, 'weight': 0, 'content': [{'end': 715.454, 'text': 'However, I have your listed for you, guys, the top libraries that are used, everything from numpy, skypie, pandas and matplotlib as well.', 'start': 708.712, 'duration': 6.742}, {'end': 720.935, 'text': 'Well, numpy is used for scientific computing and skypie uses arrays like basic data structures,', 'start': 715.834, 'duration': 5.101}, {'end': 728.137, 'text': 'which is used for linear algebra calculus and all of that, and pandas are used for data frames and matplotlib is actually used to visualize the data,', 'start': 720.935, 'duration': 7.202}, {'end': 730.698, 'text': 'and that is exactly what we do in the intermediate project, guys.', 'start': 728.137, 'duration': 2.561}, {'end': 734.57, 'text': 'We first input the data, we analyze the data and process it.', 'start': 731.289, 'duration': 3.281}, {'end': 739.232, 'text': 'later will be outputting the data in the form of a graph, and this comprises of the output.', 'start': 734.57, 'duration': 4.662}, {'end': 740.213, 'text': 'pretty straightforward, right?', 'start': 739.232, 'duration': 0.981}, {'end': 745.395, 'text': "So we'll visualize some data using matplotlib and plot a 3D graph using the same.", 'start': 740.953, 'duration': 4.442}, {'end': 747.816, 'text': 'So let us check out some code for this right now.', 'start': 746.015, 'duration': 1.801}], 'summary': 'Top libraries used: numpy, scikit-learn, pandas, matplotlib. visualization and analysis of data in the intermediate project.', 'duration': 39.104, 'max_score': 708.712, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA708712.jpg'}, {'end': 802.709, 'src': 'embed', 'start': 778.351, 'weight': 5, 'content': [{'end': 784.053, 'text': 'three-dimensional plottings were built on top of matplotlib two-dimensional display, and the result is convenient, right?', 'start': 778.351, 'duration': 5.702}, {'end': 787.935, 'text': 'So we actually getting three-dimensional plots out of something which only supports two dimensions.', 'start': 784.233, 'duration': 3.702}, {'end': 792.177, 'text': 'So basically to print that will be using matplot 3d which is mplot 3d here.', 'start': 788.455, 'duration': 3.722}, {'end': 793.037, 'text': "That's what you imported.", 'start': 792.237, 'duration': 0.8}, {'end': 796.659, 'text': "So let me quickly go ahead and run well as you can see now it's connecting to the kernel.", 'start': 793.358, 'duration': 3.301}, {'end': 800.781, 'text': 'So it is actually initializing and now that we connected, that particular code will execute.', 'start': 796.999, 'duration': 3.782}, {'end': 802.709, 'text': "So perfect, that's done, right?", 'start': 801.528, 'duration': 1.181}], 'summary': 'Three-dimensional plotting using matplotlib 3d display is convenient and allows visualization of data in higher dimensions.', 'duration': 24.358, 'max_score': 778.351, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA778351.jpg'}, {'end': 853.805, 'src': 'embed', 'start': 824.366, 'weight': 4, 'content': [{'end': 830.688, 'text': 'Three-dimensional plotting definitely benefits immensely for the viewing figures interactively than just statically using the notebook right?', 'start': 824.366, 'duration': 6.322}, {'end': 833.79, 'text': 'So basically, let us print three-dimensional points and lines.', 'start': 831.169, 'duration': 2.621}, {'end': 840.092, 'text': 'If I go ahead and run this piece of code will be actually using the sign and the cost function to actually print a few point for us.', 'start': 834.39, 'duration': 5.702}, {'end': 843.295, 'text': 'Well, the data is completely random, as you can see.', 'start': 840.712, 'duration': 2.583}, {'end': 848.019, 'text': "so you have something called Z data here, where we are multiplying the number and we're actually fetching a random number right?", 'start': 843.295, 'duration': 4.724}, {'end': 853.805, 'text': 'Whatever, the data is plotted as being sent to our trigonometric functions, which is actually predicting out the value for us,', 'start': 848.24, 'duration': 5.565}], 'summary': '3d plotting enhances visualization, using trigonometric functions to plot random data.', 'duration': 29.439, 'max_score': 824.366, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA824366.jpg'}, {'end': 883.873, 'src': 'embed', 'start': 859.35, 'weight': 7, 'content': [{'end': 864.996, 'text': 'well, different points of green as well to pretty much simple, and next we can actually define contour plots.', 'start': 859.35, 'duration': 5.646}, {'end': 870.819, 'text': 'So contour plots actually use the same relief points with the same inputs, right? So we have the same inputs.', 'start': 865.616, 'duration': 5.203}, {'end': 875.521, 'text': "Let me quickly go ahead and run this and you're going to see the output, but as you can see again.", 'start': 870.879, 'duration': 4.642}, {'end': 878.503, 'text': 'so we have labels X, Y and Z and we have a few points there right?', 'start': 875.521, 'duration': 2.982}, {'end': 882.405, 'text': 'So using NP dot mesh grid to actually give us this particular output.', 'start': 878.703, 'duration': 3.702}, {'end': 883.873, 'text': 'Again, pretty simple, right?', 'start': 883.012, 'duration': 0.861}], 'summary': 'Explaining contour plots using same relief points and np dot mesh grid.', 'duration': 24.523, 'max_score': 859.35, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA859350.jpg'}], 'start': 696.003, 'title': 'Python intermediate level libraries and 3d graph plotting', 'summary': 'Delves into top libraries for python intermediate level projects, such as numpy, skypie, pandas, and matplotlib, and discusses plotting 3d graphs using matplotlib, emphasizing the benefits of three-dimensional plotting and contour plots.', 'chapters': [{'end': 728.137, 'start': 696.003, 'title': 'Python intermediate level libraries', 'summary': 'Delves into the top libraries for python intermediate level projects, including numpy for scientific computing, skypie for arrays and basic data structures, pandas for data frames, and matplotlib for data visualization.', 'duration': 32.134, 'highlights': ['numpy is used for scientific computing', 'skypie uses arrays like basic data structures for linear algebra calculus', 'pandas are used for data frames', 'matplotlib is used to visualize the data']}, {'end': 896.103, 'start': 728.137, 'title': '3d graph plotting using matplotlib', 'summary': 'Discusses how to plot a 3d graph using matplotlib, highlighting the process of inputting, analyzing, and outputting data, as well as the benefits of three-dimensional plotting and contour plots.', 'duration': 167.966, 'highlights': ['Three-dimensional plotting benefits immensely for viewing figures interactively than just statically using the notebook, as it enhances data visualization.', 'Matplotlib was designed for two-dimensional plotting, but three-dimensional plottings were built on top of it, enabling the visualization of three-dimensional plots out of something which only supports two dimensions.', 'The process includes inputting the data, analyzing and processing it, and outputting the data in the form of a graph using Matplotlib, specifically plotting a 3D graph.', 'Contour plots use the same relief points with the same inputs, and the data is plotted using NP dot mesh grid, which provides a simple method for obtaining the output.']}], 'duration': 200.1, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA696003.jpg', 'highlights': ['numpy is used for scientific computing', 'skypie uses arrays like basic data structures for linear algebra calculus', 'pandas are used for data frames', 'matplotlib is used to visualize the data', 'Three-dimensional plotting benefits immensely for viewing figures interactively than just statically using the notebook, as it enhances data visualization.', 'Matplotlib was designed for two-dimensional plotting, but three-dimensional plottings were built on top of it, enabling the visualization of three-dimensional plots out of something which only supports two dimensions.', 'The process includes inputting the data, analyzing and processing it, and outputting the data in the form of a graph using Matplotlib, specifically plotting a 3D graph.', 'Contour plots use the same relief points with the same inputs, and the data is plotted using NP dot mesh grid, which provides a simple method for obtaining the output.']}, {'end': 1149.51, 'segs': [{'end': 922.348, 'src': 'embed', 'start': 896.583, 'weight': 1, 'content': [{'end': 900.947, 'text': "So we've been viewing this from a particular XY plane, right? So now let us actually change it.", 'start': 896.583, 'duration': 4.364}, {'end': 902.388, 'text': 'We can view it from another plane.', 'start': 901.007, 'duration': 1.381}, {'end': 905.87, 'text': 'Well, let me quickly go ahead and run this piece of code, and you can see that right?', 'start': 902.987, 'duration': 2.883}, {'end': 911.817, 'text': "So we're actually viewing this from 60 degrees above the xy plane and we're actually adding an azimuth of 35 degrees.", 'start': 906.05, 'duration': 5.767}, {'end': 915.841, 'text': 'Well azimuth is nothing but rotating the z-axis by 35 degrees guys.', 'start': 912.157, 'duration': 3.684}, {'end': 919.104, 'text': 'So do know that it is actually anti-clockwise in our particular example.', 'start': 916.021, 'duration': 3.083}, {'end': 922.348, 'text': 'So again, this is the particular interactive mode of matplotlib guys.', 'start': 919.525, 'duration': 2.823}], 'summary': 'Changing view to 60 degrees above xy plane, with 35 degrees azimuth.', 'duration': 25.765, 'max_score': 896.583, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA896583.jpg'}, {'end': 1024.483, 'src': 'embed', 'start': 991.28, 'weight': 0, 'content': [{'end': 993.462, 'text': 'and we actually checked out the case using matplotlib.', 'start': 991.28, 'duration': 2.182}, {'end': 996.805, 'text': "So next up is where we'll be looking at the advanced Python projects.", 'start': 994.023, 'duration': 2.782}, {'end': 1004.631, 'text': 'So, guys, it is at this point that Python diversifies into so many applications that you can pick anything that you want and, in my opinion,', 'start': 997.305, 'duration': 7.326}, {'end': 1009.615, 'text': 'achieving artificial intelligence is an amazing use case of making use of Python for deep learning guys.', 'start': 1004.631, 'duration': 4.984}, {'end': 1015.118, 'text': 'Well deep learning is a way to achieve artificial intelligence on the whole and there are many libraries like that.', 'start': 1010.115, 'duration': 5.003}, {'end': 1016.058, 'text': "Let's say TensorFlow.", 'start': 1015.278, 'duration': 0.78}, {'end': 1016.959, 'text': 'We have PyTorch.', 'start': 1016.078, 'duration': 0.881}, {'end': 1024.483, 'text': 'We have Keras Tiano and many more for this very purpose, right? So I do actually have a detailed video comparing the top 8 deep learning frameworks.', 'start': 1016.979, 'duration': 7.504}], 'summary': 'Python offers diverse applications, including achieving artificial intelligence using deep learning libraries like tensorflow, pytorch, and keras tiano.', 'duration': 33.203, 'max_score': 991.28, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA991280.jpg'}, {'end': 1141.808, 'src': 'embed', 'start': 1111.74, 'weight': 2, 'content': [{'end': 1113.862, 'text': 'We have 10 images for each of these data points.', 'start': 1111.74, 'duration': 2.122}, {'end': 1117.645, 'text': 'So, in total, we have a hundred images right and each of the image is a color image.', 'start': 1114.342, 'duration': 3.303}, {'end': 1125.672, 'text': 'as you can observe, a color image will always have three channels red, green and blue as an RGB, and do note that in this data set,', 'start': 1117.645, 'duration': 8.027}, {'end': 1127.414, 'text': 'each images of the size 32 cross 32 pixels.', 'start': 1125.672, 'duration': 1.742}, {'end': 1130.323, 'text': 'So now our input is set.', 'start': 1128.982, 'duration': 1.341}, {'end': 1131.763, 'text': 'So is the output data.', 'start': 1130.703, 'duration': 1.06}, {'end': 1135.405, 'text': 'Well, let us look at the entire project in the data flow diagram, right?', 'start': 1132.244, 'duration': 3.161}, {'end': 1141.808, 'text': "So check out this quickly, guys, is an entire flow diagram for how the project actually works, and I'll quickly walk you through the same.", 'start': 1135.865, 'duration': 5.943}], 'summary': 'The dataset consists of 100 color images, each 32x32 pixels, with 3 channels. the project is outlined in a data flow diagram.', 'duration': 30.068, 'max_score': 1111.74, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA1111740.jpg'}], 'start': 896.583, 'title': 'Visualizing data with matplotlib and intermediate python projects', 'summary': 'Covers visualizing data from different planes in matplotlib, including a 60-degree view above the xy plane with an azimuth of 35 degrees, wireframes, and surface plots. it also introduces intermediate python projects utilizing matplotlib for visualization and delves into a deep learning project involving pytorch for image classification, utilizing a dataset of 100 color images of size 32x32 pixels and a data flow diagram.', 'chapters': [{'end': 927.668, 'start': 896.583, 'title': 'Viewing data from different planes in matplotlib', 'summary': 'Explains how to view data from different planes using matplotlib, demonstrating a 60-degree view above the xy plane with an azimuth of 35 degrees and the use of wireframes and surface plots.', 'duration': 31.085, 'highlights': ['Explains how to view data from different planes using Matplotlib, demonstrating a 60-degree view above the xy plane with an azimuth of 35 degrees.', 'Describes the concept of azimuth as rotating the z-axis by 35 degrees in the anti-clockwise direction.', 'Demonstrates the use of wireframes and surface plots in the interactive mode of Matplotlib.']}, {'end': 1149.51, 'start': 927.768, 'title': 'Intermediate python projects', 'summary': 'Introduces intermediate python projects using matplotlib for visualization and discusses the deep learning project involving pytorch for image classification, with a dataset of 100 color images of size 32x32 pixels and a data flow diagram.', 'duration': 221.742, 'highlights': ['The chapter introduces intermediate Python projects using matplotlib for visualization and discusses the deep learning project involving PyTorch for image classification. It emphasizes the use of matplotlib for visualization and delves into an intermediate project using PyTorch for image classification.', 'The dataset for the deep learning project consists of 100 color images of size 32x32 pixels. It specifies that the dataset comprises 100 color images, each of size 32x32 pixels, for the deep learning project.', 'The data flow diagram for the project depicts the process of loading the dataset, reading the images, and handling the actual dataset. It explains the data flow diagram, illustrating the steps involving loading the dataset, reading the images, and handling the dataset.']}], 'duration': 252.927, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA896583.jpg', 'highlights': ['Introduces intermediate Python projects using matplotlib for visualization and discusses a deep learning project involving PyTorch for image classification.', 'Demonstrates viewing data from different planes using Matplotlib, including a 60-degree view above the xy plane with an azimuth of 35 degrees and the use of wireframes and surface plots.', 'Describes the dataset for the deep learning project, consisting of 100 color images of size 32x32 pixels, and the data flow diagram depicting the process of loading the dataset and handling the images.']}, {'end': 1633.552, 'segs': [{'end': 1200.232, 'src': 'embed', 'start': 1168.771, 'weight': 1, 'content': [{'end': 1169.712, 'text': 'and lastly, will be training.', 'start': 1168.771, 'duration': 0.941}, {'end': 1171.113, 'text': 'the network will training.', 'start': 1169.712, 'duration': 1.401}, {'end': 1174.155, 'text': 'the network is actually to reduce the losses at every iteration.', 'start': 1171.113, 'duration': 3.042}, {'end': 1178.138, 'text': 'Well, as you already might know, that deep learning is a process of iteration, right?', 'start': 1174.616, 'duration': 3.522}, {'end': 1184.663, 'text': 'So every time the process is repeated and we decrease the loss and we test the network based on the training data and lastly,', 'start': 1178.538, 'duration': 6.125}, {'end': 1188.606, 'text': 'we make predictions on our data set to check if our model has actually learnt anything.', 'start': 1184.663, 'duration': 3.943}, {'end': 1190.989, 'text': 'Well guys again it is at this point of time.', 'start': 1189.269, 'duration': 1.72}, {'end': 1193.73, 'text': 'I like to tell you that we have a detailed video on pie torch as well.', 'start': 1191.029, 'duration': 2.701}, {'end': 1195.891, 'text': 'So make sure you check that out in the channel, right?', 'start': 1194.13, 'duration': 1.761}, {'end': 1200.232, 'text': "Well, do not worry if you don't actually understand what deep learning is at this point,", 'start': 1196.291, 'duration': 3.941}], 'summary': 'Training network to reduce losses through deep learning iteration.', 'duration': 31.461, 'max_score': 1168.771, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA1168771.jpg'}, {'end': 1247.768, 'src': 'embed', 'start': 1217.668, 'weight': 4, 'content': [{'end': 1221.49, 'text': 'So the first step here is to actually download the CIFAR 10 from their database guys.', 'start': 1217.668, 'duration': 3.822}, {'end': 1225.591, 'text': 'We need an active internet connection at this point of time, and make sure you have that.', 'start': 1221.57, 'duration': 4.021}, {'end': 1226.672, 'text': 'so at this point of time,', 'start': 1225.591, 'duration': 1.081}, {'end': 1231.994, 'text': 'all we have to do is we need to download the data set and we need to make sure that our network can actually figure out all the classes.', 'start': 1226.672, 'duration': 5.322}, {'end': 1236.296, 'text': 'So we have defined the classes ranging from plane car bird all the way to truck.', 'start': 1232.374, 'duration': 3.922}, {'end': 1243.119, 'text': 'So as soon as I go ahead and implement this piece of code CIFAR 10 should be downloaded on my machine and the classes should be actually identifiable.', 'start': 1236.636, 'duration': 6.483}, {'end': 1247.768, 'text': 'So this might take about two to five minutes based on your internet speed guys.', 'start': 1244.426, 'duration': 3.342}], 'summary': 'Download cifar 10 dataset with classes like plane, car, bird, truck. takes 2-5 minutes.', 'duration': 30.1, 'max_score': 1217.668, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA1217668.jpg'}, {'end': 1534.633, 'src': 'embed', 'start': 1508.103, 'weight': 3, 'content': [{'end': 1512.684, 'text': 'So let me go ahead and print the accuracy of the network for every 10, 000 test images to see.', 'start': 1508.103, 'duration': 4.581}, {'end': 1516.005, 'text': "I am guessing about 50% for the loss we obtained, but let's check it out.", 'start': 1512.684, 'duration': 3.321}, {'end': 1524.088, 'text': 'So guys the accuracy of the network on the 10, 000 test images is 56% guys 56% is actually really good for just two passes.', 'start': 1517.186, 'duration': 6.902}, {'end': 1528.729, 'text': 'and this actually makes sense, instead of randomly predicting our data right?', 'start': 1525.487, 'duration': 3.242}, {'end': 1534.633, 'text': "So lastly, we need to check what are the classes that actually perform really well and what are the classes that actually didn't perform well.", 'start': 1528.889, 'duration': 5.744}], 'summary': 'Network accuracy on 10,000 test images is 56%, indicating improvement after two passes.', 'duration': 26.53, 'max_score': 1508.103, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA1508103.jpg'}, {'end': 1575.576, 'src': 'embed', 'start': 1546.6, 'weight': 0, 'content': [{'end': 1550.863, 'text': "So let's actually execute this piece of code which prints the accuracy of all of the individual classes.", 'start': 1546.6, 'duration': 4.263}, {'end': 1561.081, 'text': 'So guys as you can check out the accuracy of detection of the plane is 66% accuracy of detection of the car is 79% so on until horse.', 'start': 1553.371, 'duration': 7.71}, {'end': 1564.245, 'text': 'This is an extremely decent result for just two passes guys.', 'start': 1561.502, 'duration': 2.743}, {'end': 1566.888, 'text': "So let's head back to our presentation to check out what's next.", 'start': 1564.325, 'duration': 2.563}, {'end': 1568.931, 'text': "Well guys now that that's done.", 'start': 1567.669, 'duration': 1.262}, {'end': 1570.994, 'text': 'Let me quickly conclude the session for you guys.', 'start': 1569.031, 'duration': 1.963}, {'end': 1575.576, 'text': 'We started out with introduction to python and we looked at why python projects is so popular,', 'start': 1571.593, 'duration': 3.983}], 'summary': 'Accuracy: plane 66%, car 79%. decent result for two passes. session covered python popularity.', 'duration': 28.976, 'max_score': 1546.6, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA1546600.jpg'}], 'start': 1149.71, 'title': 'Deep learning training and python with pytorch', 'summary': 'Discusses the process of deep learning training, including data normalization, neural network definition, and loss function establishment. it also covers python deep learning with pytorch, including loading and normalizing cifar 10 dataset, training a convolutional neural network with 56% accuracy, and achieving 66% accuracy for planes and 79% for cars in just two passes.', 'chapters': [{'end': 1184.663, 'start': 1149.71, 'title': 'Deep learning training process', 'summary': 'Discusses the process of data normalization, neural network definition, and loss function establishment in deep learning, followed by the iterative training process to reduce losses and increase accuracy.', 'duration': 34.953, 'highlights': ['Data normalization involves making the input data sensible for the program, and defining the neural network and loss function helps in increasing accuracy.', 'The iterative training process aims to reduce losses at each iteration and is a crucial aspect of deep learning.', 'Deep learning involves the process of iteration to decrease loss and test the network based on training data.']}, {'end': 1633.552, 'start': 1184.663, 'title': 'Python deep learning with pytorch', 'summary': 'Covers the process of loading and normalizing the cifar 10 dataset using pytorch, defining and training a convolutional neural network with an accuracy of 56% on 10,000 test images, and evaluating the accuracy of individual classes, achieving 66% accuracy for planes and 79% for cars in just two passes.', 'duration': 448.889, 'highlights': ['Loading and Normalizing CIFAR 10 Dataset The first step involves using the torch vision package to download the CIFAR 10 dataset, requiring an active internet connection and taking about two to five minutes, with the option to avoid redownloading the dataset for subsequent executions.', 'Training Convolutional Neural Network The process of defining the convolutional neural network architecture, implementing rectified linear unit (ReLU), and using classification cross entropy loss with a learning rate of 0.001, followed by training for two passes and printing statistics for every 2,000 mini-batches.', "Evaluation of Network Accuracy After training, the chapter details the method of checking the network's learning by predicting class labels and comparing them to ground truth, achieving an accuracy of 56% on 10,000 test images and assessing the accuracy of individual classes, with planes achieving 66% and cars achieving 79% accuracy."]}], 'duration': 483.842, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/NKVOjPHfiSA/pics/NKVOjPHfiSA1149710.jpg', 'highlights': ['Achieving 66% accuracy for planes and 79% for cars in just two passes', 'The iterative training process aims to reduce losses at each iteration and is a crucial aspect of deep learning', 'The process of iteration to decrease loss and test the network based on training data', 'Training Convolutional Neural Network with 56% accuracy', 'Loading and Normalizing CIFAR 10 Dataset requiring an active internet connection and taking about two to five minutes', 'Using the torch vision package to download the CIFAR 10 dataset']}], 'highlights': ["Python's wide range of applications and clear syntax contribute to its popularity.", "Python's beginner-friendly nature and simple syntax make it an excellent choice for learners.", 'The chapter covers three levels of Python projects for practical application of skills.', 'Guidance on installing Python and choosing development environments is provided.', 'Understanding real-life applications of Python plays a major role in motivating the need to learn the language.', 'The hangman game is presented as an example of a simple project in Python.', 'Matplotlib was designed for two-dimensional plotting, but three-dimensional plottings were built on top of it.', 'Introduces intermediate Python projects using matplotlib for visualization and discusses a deep learning project involving PyTorch.', 'Achieving 66% accuracy for planes and 79% for cars in just two passes is highlighted.']}