Ratings and Reviews for Applied Machine Learning in Python

Good applied material to study along theoretical material!

there are some gaps which is really difficult to understand！

Great class. Final project was a little unclear, but forums were a great help.

great course - I learnt a lot!

Kevyn is an absolute joy to learn from. His enthusiasm for the topic is contagious, and his explanations are clear. The course content is well curated, tested, and reinforced. At the end of this course I feel confident that I can *actually* apply machine learning to real world problems and competitions. This is not just a 'good' course, it's a new gold standard in e-learning.

A good course for beginners in Machine Learning. You get to the learn the basics of many techniques and their implementation in python.

Although the course taught me a lot on the importance of parameter tuning and data leakage, I found that often times it was too technical and did not provide the information I was looking for. I found myself continuously referring to notes from other ML courses during the length of this course. In addition, the video errors and challenges with the auto grader were very frustrating.

Good choice for Machine Learning introduction, Data Analysis in Python and applied statistical concepts.

Very informative, broad, hands-on course. Strong recommend.

Some very good practical advice like dummy testing or data leakage issues Some trivialities and repetitions. Python code could have been a bit better commented