The Power of Object-Oriented Programming in Python: A Journey Through Machine Learning and AI

As part of our daily live sessions during the lockdown, we have been conducting six live sessions on Python programming. We started off with the very basics of Python programming, covering topics such as for loops, conditionals, debugging techniques, and how to read references. From there, we delved into numerical programming and mathematical programming in Python, exploring the world of strings, regular expressions, recursion, dynamic programming, and in-built data structures.

We also spent time on problem-solving, taking on interesting problems and explaining how some of the concepts in Python work. We demonstrated how to solve real-world machine learning, mathematical, and numerical problems using Python. Our sessions were designed to be engaging and interactive, with a focus on hands-on learning and practical applications. We encouraged our audience to participate and share their experiences, creating a sense of community among learners.

As we move forward, our next two live sessions will focus on object-oriented programming in Python, specifically its applications in machine learning and AI. This time around, our focus will be limited to the applications of object-oriented programming, rather than studying object-oriented design principles. Instead, we'll explore real-world examples that demonstrate why object-oriented programming is needed and how it applies to machine learning and AI.

We'll delve into some of the most important concepts in object-oriented programming, including inheritance, and provide practical examples to illustrate its relevance. We've hinted at this topic before, as seen in our previous session where we discussed URL shorteners and explored the idea of using a class to encapsulate both data and functions. This time around, we'll dive deeper into the concept of classes and how they can be used to create modular, reusable code.

We strongly recommend that those who have not watched our previous sessions take some time to review them before joining us for these next two live sessions. We'll be building on top of what we've already discussed in the previous sessions, so it's essential to have a solid understanding of the basics before moving forward. Our live sessions will be publicly available on YouTube, and we'll make announcements on the channel to keep everyone informed.

In addition, we'll post links to our previous sessions and tomorrow's live session as well as the next day's session in the description section below this video, making it easy for anyone who wants to participate to access them. We encourage everyone to share these links with their friends and family, ensuring that more people can benefit from our learning journey together.

As we embark on this new chapter of object-oriented programming in Python, specifically in the context of machine learning and AI, we're excited to explore some fascinating topics. Our next two live sessions promise to be engaging, informative, and fun, with plenty of practical examples and real-world applications to share. Join us tomorrow and the day after as we learn about the basics of object-oriented programming in Python and its role in machine learning and AI. See you there!

"WEBVTTKind: captionsLanguage: enhi friends as part of these daily live sessions that were conducting during the lockdown we have done six live sessions on Python programming till now we have started off with very basics of Python programming for loops he fills conditions how to debug if you come across an error how to read the references and things like that and then we went on to do a couple of sessions on numerical programming and mathematical programming in Python then we spend some time on strings regular expressions recursion a little bit of dynamic programming and then we also touched upon the inbuilt data structures in Python and most of these we have been taking some interesting problems solving them and while solving we also explained how how some of the concepts in Python work and how you can solve real world machine learning mathematical and numerical problems in Python now in the next two days which is the 7th and 8th of April we will focus on object under programming in Python again there will be two two-hour sessions from 6:00 p.m. to 8:00 p.m. just like the regular days tomorrow and day after which is the 7th and the 8th of April we will focus on object programming in Python again our focus will be limited to the applications of object programming in machine learning and AI right so we will not be studying object limited design but what I'll try to do is I will take some real-world examples and try to motivate why object programming is needed and how does it apply how does inheritance work again some of the most important concepts in ogden rood programming but in the context of machine learning and layer again I've hinted at it in yesterday's session where I gave you a hint on when we were solving a problem of URL shorteners I gave you a hint that we could we could put the dictionary and the functions in in one structure or in one logical unit called a class again we'll dive deep into it in the next two live sessions I strongly recommend those who have not watched the previous sessions to try and spend some time watching them because I'll be building on top of what we've already discussed in the previous life sessions so see you tomorrow and day after and both these live sessions will be publicly available on YouTube we'll make announcements on YouTube it's and we will actually put out the live session lie session links on YouTube itself right so that everybody who is interested in them during the log jam can participate again please share these links with your friends so that others also can benefit actually what I will do is I will provide the links to tomorrow's live session and the day after slave session until this video in the description section so that you can easily attend them see you tomorrow and day after and let's learn about some basics of ovulate programming in the context of machine learning and AI in Python see you tomorrowhi friends as part of these daily live sessions that were conducting during the lockdown we have done six live sessions on Python programming till now we have started off with very basics of Python programming for loops he fills conditions how to debug if you come across an error how to read the references and things like that and then we went on to do a couple of sessions on numerical programming and mathematical programming in Python then we spend some time on strings regular expressions recursion a little bit of dynamic programming and then we also touched upon the inbuilt data structures in Python and most of these we have been taking some interesting problems solving them and while solving we also explained how how some of the concepts in Python work and how you can solve real world machine learning mathematical and numerical problems in Python now in the next two days which is the 7th and 8th of April we will focus on object under programming in Python again there will be two two-hour sessions from 6:00 p.m. to 8:00 p.m. just like the regular days tomorrow and day after which is the 7th and the 8th of April we will focus on object programming in Python again our focus will be limited to the applications of object programming in machine learning and AI right so we will not be studying object limited design but what I'll try to do is I will take some real-world examples and try to motivate why object programming is needed and how does it apply how does inheritance work again some of the most important concepts in ogden rood programming but in the context of machine learning and layer again I've hinted at it in yesterday's session where I gave you a hint on when we were solving a problem of URL shorteners I gave you a hint that we could we could put the dictionary and the functions in in one structure or in one logical unit called a class again we'll dive deep into it in the next two live sessions I strongly recommend those who have not watched the previous sessions to try and spend some time watching them because I'll be building on top of what we've already discussed in the previous life sessions so see you tomorrow and day after and both these live sessions will be publicly available on YouTube we'll make announcements on YouTube it's and we will actually put out the live session lie session links on YouTube itself right so that everybody who is interested in them during the log jam can participate again please share these links with your friends so that others also can benefit actually what I will do is I will provide the links to tomorrow's live session and the day after slave session until this video in the description section so that you can easily attend them see you tomorrow and day after and let's learn about some basics of ovulate programming in the context of machine learning and AI in Python see you tomorrow\n"