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Ratings and Reviews for Applied Machine Learning in Python

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Reviews and Ratings

4.6

7655 Ratings from Coursera

Reviews

very insightful. appreciate the more practical application of the libraries and packages
A very great and concise course!
This was a great course for learning how to use scikit learn for machine learning. It was also a good review of ML concepts. I recomend it to anyone who wants to use their ML skills in Python but it is not a beginner course unless. you have a lot of time.
The way the instructor explained complex topics such as overfitting and data leakage is phenomenal. Thank you for the course.
Principles are good and well presented, and the excercises well made and challenging. Unfortuantely the Python is getting way of date, making it difficult to use the answers you may find when looking at the docs of scikit-learn, pandas etc, since they create incompatibilities with the ancient dependencies expected by the autograder. The content just needs a modest amount of love to bring it up to date with current tooling.
Lot's of problems with automatic grader. Please fix.
The course material is very good and the explanation is excellent. It can be improved much more if the python and used libraries are updated to more current versions.
It covered a lot of important topic/ concerpt. Very structure program.
Many videos are out of sync with what the professor is saying or, in other occasions, only shows what the professor is saying very briefly.
Good materials but not easy exams

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