Ratings and Reviews for Applied Machine Learning in Python

Awesome Insturctor

Comprehensive and interesting course in Machine Learning. The use of Scikit Learn helps to give a concrete understanding of ML as well as how many specific algorithms can be utilized in real world problems.

Great course, very useful, with a very practical approach. I suggest to everyone, working on datascience and that needs to familiarize with Python language

Terrible quiz problems and grading mechanism

Unlike the name suggests, this course only covers the Supervised learning side of the ML. However, the supervised side is good.

A very practical course for machine learning. By this course, one can get familiar with sklearn and pandas basic operation! The last assignment is a challenge for me. Thanks teacher for this great course!

World class course. Covers a lot of core machine learning subjects in an accessible way with a practical focus in Python. Thanks!

The class provides a perfect introduction to the scikit-learn Python module. The videos are engaging and insightful. The quizzes are challenging while not requiring too much time writing out solutions (it does take time finding some of the more subtle answers, by reviewing details in the videos). The executable modules are perfect to bootstrap machine learning projects. Homework assignments can get complicated, and you should be familiar with advanced data structure manipulation in pandas and numpy to make progress. Assignment grading is very well done.

This course was too theoretical and lacked any practical exercises that would help me solve any problems. The professor went too deep into the concept and in the end you were left wondering what is the purpose of the algorithm. Seems as if they were concerned in covering a specific amount of topics rather than making the concept of machine learning more approachable.

great course with a high value added