This course literarily saves me dozens of hours of time from watching various YouTube videos and looking up codes on the Internet. You’d find this course useful whether you’re doing your first portfolio project, or you’re a working professional. The companion notebooks and GitHub repo are golden! In the past, it took me dozens of hours to google the exact same thing on specific codes. Jeff and Ken did most of the heavy lifting for you, so that you can focus on working on your projects. Most importantly, Jeff has worked in well-known and reputable companies. So you know that his content and material are trustworthy. Though there’re a lot of “Kaggle Champions” on YouTube giving a walk-through on an ML project, I value that Jeff and Ken’s teaching a lot because of his years of experience in major tech companies. This course stands out to me because it talks about the end-to-end process of building ML models. This is a topic that even some bootcamps don’t talk about it a lot. They either don’t spend much time to talk about it thoroughly, or they gloss over it, or they assume that “you would figure it out” along the way. So this course solves that problem to give you a walk through on that process. You would notice that each lecture video’s length is about several minute long to keep it bite-sized. And the coding notebook walkthrough videos are also thorough to cover the lecture video’s portions. So you’ll get both the theoretical knowledge and practical experience in this case. After watching this course, you should be able to do a Machine Learning project from start to finish, end-to-end all by yourself. I look forward to the Part 2 of the course – Machine Learning Algorithms with Jeff Li and Ken Jee.