Ratings and Reviews for Applied Machine Learning in Python

Very good introductory course to approach scikit_learn!! Highly Recommend!!

Good class, and it's very nice to have the "applied" machine learning angle (as opposed to focusing on the mathematical / theoretical underpinnings, which are only important at a much later point in time)

Great course!

Excellent course, you must to take it and work by yourself in the Assignments

The course is so informative and interseting.

great course thanks for financial aid for the course .

The course is an excellent tour of machine learning methods. The best thing is that it provides the python codes for various applications of machine learning. These can represent a great starting point for real applications. The significant parameters of each model are explained and the usage of the main models is well depicted. However, the course is very dense and I think it should have been divided in 6-8 weeks. At least the unsupervised learning part, which is optional in the Week 4 should have a dedicated week, with assignments. Before doing this course I recommend something like the course of Andrew Ng (without that one, for me it would have been more difficult to follow this one).

The course is too tight, just 4 weeks cannot master the machine learning. This course can splitted into 2, in order to capture more on the deep learning and unsupervised learning, which are important, but being categorized as option in the course.

Sometimes the lecturer is boring but overall perfect course

The course ire great and illustrates many useful topics. The only thing it needs to improve is about the assignment 4 which requires more information to solve the problem, in particular, people who deal with the complete machine learning problem.