Ratings and Reviews for Applied Machine Learning in Python

Teaching is very good and it is helpfull

excellent . but somewhat twisty assignments. please give easy assignments

Machine Learning Fundamentals are taught in concise and easy to understand manner. Some of the ML algorithms such as Kernelized SVM have been explained brilliantly. Thanks for putting up this wonderful course.

The best course a ever had.

Very interesting, a lot of focus of statistica theory and little less (as compared to previous courses of specialization) on practical examples and implementation.

Very applied course, while still teaching you the basic concepts. You can start using machine learning solutions to your problems right away with confidence. The course covers a lot of ground, so expect some topics to be treated rather superficially. It provides a lot of material if you want to expand your knowledge though.

Really helpful I will teach you ML from strach. Thank you coursera & Trainer Thompsom

Submission isnt easy often gave errors that are not due to students' faults. Time-consuming unnecessarily. The content and assignments are great.

Gives a good overview on ML-Techniques. I liked the evaluation part. "Applied" means - they provide no technical/mathematical details of the different methods. You should get it somewhere else. Everything is well set up. You need the knowledge of the previous courses of this specialization.

Really good course, although it is more focused on the practical aspect I really learn much more about different machine learning techniques for improving and applying a model.