Ratings and Reviews for Applied Machine Learning in Python

There's too much back to back to back video lecture and not enough hands on work. The final quizzes and projects are too challenging given the amount of work done on the subject matter.

It is a great course with best practices. Thank you for your time and consideration. I learnt many things from your course.

Nothing wrong really. Should have provided more mathematical theory in the resources section. Assignments should be a lot tougher and on real life data sets which require recodings and transformations. Quizzes should be more relevant to the lessons taught. More hardcore theoretical resources, like books and research papers should be included in order to complement the practical lessons.

Great! loved the final project, which is a machine learning project that you can actually put on your resume and talk about!

Should be an harder final assignement, but a great course overral!

Great course

The quality of the teaching is a marked improvement over module 1 & 2 in this specialisation. In my opinion it would be a 4/5 star course on that alone however there is 1 minor and 1 major issue. Starting small, the course could do with better summary notes/cheatsheets to help remember details and as prompts when doing assignments; I found it really annoying to have to skim read the lecture video transcript or scan through the videos. The MAJOR issue is the problem sets and the autograder. I really feel the teachers need to re-write this whole section before I could recommend this course.

Good course. And challenging indeed, especially the quizzes.

very very excellent, got to learn whole lot of machine learning models and approaches. i'm straight away going for kaggle competitions after this.

Well structured and quality lectures and assignments