Ratings and Reviews for Applied Machine Learning in Python

Amazing course with a lot of in practice lectures and assignments.

Gives good overview of ML using Pyton

Course was fully explained in details and with good exercise

Easy to learn the course, just be focussed. Its an applied ML course, not to expect any mathematics.

Super interesting course and specialization!

Good brief explainataion of supervised algorithm , its working and how its put to use with 'sklearn' . Jupyter notebooks on each module gives you a baseline of how machine learning is done with 'sklearn'. Quiz arent bad either . May be the last assignment on the final analysis of given data to provide a prediction could have been made more challenging by including grade on the EDA and explaination of model results.

Best course so far in this specialisation

This course was a complete disappointment. First of all, it should have been split into two courses. The second week especially contains so much material to the point that it's not-pedagogical. Also, I regret to say that the instructor is not fit for this task. It would be better if they used Christopher Brooks from the first two courses as he is more engaging and he seems to have a lot more experience in public talking. Another thing is that there are serious bugs with the assignments. This course needs serious redesign. All in all, don't spend your precious time and money on this one. There are better courses available on this subject.

Good.

Excellent instructor and course material