Introduction

0:00 welcome to this machine learning course for beginners Top by haush Singh he is a data scientist and popular instructor this course is your gateway to mastering the increses of regression analysis in the realm of machine learning aush has designed this course to provide you with in-depth knowledge practical examples and Hands-On projects that will set you up for success with a curriculum that covers everything from the basics to Advanced Techniques this course offers a unique opportunity to not only learn the fundamentals of machine learning but also explore the often overlooked power of regression analysis so get ready for a deep dive into the world of machine learning what if I told you that there's a core machine learning course that does not have only detailed explanation of regression analysis but also have pday lecture notes as well as assignments with personalized feedback on that and a scheduled learning plan for you well guess what I'm offering all of this for absolutely free hi I'm aush and I'm currently working as a data scientist at a and as demonstrative working experience as a melops engineer at zml

1:10 and a data scientist at rfm and a founder of anon as well and I welcome you to our core comprehensive machine learning course out here the course is designed to give you a solid foundation of machine learning and progression analysis which is often overlooked in most of the courses available right now we begin by Le the down work for machine learning so even if you're a beginner you're able to understand it we talk about what is learning we talk about generalization we talk about inductive bias and a lot of things initially and then we gradually move on regression analysis and we cover as much as we go in depth and to ensure that we are quite equipped with the Practical applications as well I'm going to introduce two projects by the end of the course which you have never seen like that project before as well because I have worked personally at several companies and I know how we delivered data science

1:56 projects to them and the same way I'm going to do it in this course as well but that's not all if you want to maximize your learning opportunity from this course then we are offering free updates to the course regular assignments with personalized feedback to you and a tailored learning plan for you to complete this course in just 1 month you can simply go on a GitHub page for the course and then get access to the elements directly from there and all of this for absolutely free one of the major issues which I want to highlight you mind be asking here was just for expression most of the instructor takes around only one hour you're taking freaking so much of hours to teach I telling you that people forget the foundation people forget the basics of it and it just just strictly goes on Advanced topics like deep learning and then they are not able to secure the job and then they complain me that he us

2:40 data science has no jobs but actually if you think in a way that the talent is less than the actual jobs because they are not going to pay you thousands of dollars for just three lines of cour which you ride in secondy anyone can do it and then crowd is increasing but their talent is decreasing they're forgetting what's the base of machine learning what's the base of the assign but for getting the solid foundation which was used to be given in '90s and all so that's what the course focuses on we make sure that we emphasize the core concept of machine learning and regression analysis so that you can even learn further things on your own our course is designed to put emphasis on core concept of machine learning and regression analysis so that you can stackle critical business problem and solve it the way real data scientists solve so that's enough of it now let's

3:27 get started with the course you can directly go to the element and then start from there by seeing the tailored learning plan or you can get started from here let me know if you have any doubts in the comment section and find any interest or erata in this course please feel free to make an issue on the ga page for the course hey everyone uh so let's get started with our machine learning content and actually we'll get started with um a bit of discussion on learning the machines learning