Ratings and Reviews for Applied Machine Learning in Python

Great course. It doesn't confuses you very deep mathematics involved in machine learning. Rather, with a touch of it, it focus more on how and when to apply the models in Machine learning. How to evaluate and optimize them. It's really Fantastic with it's hands on projects in assignments.

I am not happy with the course material and the way teachers are teaching.

Amazing course

Lots of minor issues with the Jupyter notebooks that could easily be fixed but the instructors just post a way to solve the problems in the discussion form instead which is frustrating. The material itself was extremely interesting and useful!

This course is not useful to learn from scratch, but has some good things, for example the final assignment.

Great course for Machine Learning Algos. This series of lectures also helped me in understanding two beginners books for ML - 1. Introduction to Machine Learning 2. Hands on to Machine Learning. Professor taught in a very informative and easy to understand way. Really thankful to the professor. Each and every algo is well explained with strengths, weaknesses. questions in Quiz are very good these were not so easy and not so tough. I will recommend this course if you want to learn ML using Python. Thanks a lot, sir.

The python packages used in the course are becoming outdated adding useless difficulties.

I found the course to be a little bit too much of a whirlwind for me to get much more than the broadest strokes out of it. A lot of the topics covered were mentioned very briefly without much explanation of when or how they should be applied - especially week three felt like a barrage of "this exists, this exists, this exists..." without much explanation, and I don't think I'll retain very much of it. The Week 4 assignment, however, was adequately challenging and did give me cause to go back, review and dig deeper into many of the topics covered previously.

Super great course!!

the course was fun and full of information to learn. very well professor. thank you so much.