Ratings and Reviews for Applied Machine Learning in Python

Good class with a lot of interesting material. However consider correcting some issues like, each exam we are told to read file from the folder readonly and each time I got 0/100 at my first submission because the file was not in this folder!! Anyway, quality was present.

Excellent course !

Excellent material for intro to ML

An excellent overview of Machine Learning in Python.

Course is interesting and nice . quiz made well .

This is great course with very practical methods to sovle real problems in various fields. I think there should be a additional course regarding Deep learning, which I think would be very successful as well. Moreover, this course can be combined with Andrew`s ML so that we can have both theoritical concepts and practical experience of Machine Learning in python.

This is the best course for machine learning. Assignments are really good. It make sure you know all the things that are taught to you. Even some times I had to go through the lectures again to complete the assignment.

love the final assignment. Had great fun!

This course involves lots of concepts and algorithms in machine learning. As it is said by the teacher, for time, effort and aim limitations, this course only involves basic concepts and usage of sci-kit learn. It is a good hand-on course for beginners. Assignments are not so challenging compared with the previous two courses in the same specialization. I just finish assignments by following the module code in the course. I feel like not study as much as I expected through the assignment. I hope assignments can be changed by varieties and difficulties to let students know how a machine learning project is like and how the evaluation works but not simply call the precision/accuracy/recall function and the assignment finishes. Generally, you still learn a lot if you want 'applied machine learning'

Very good curriculum with a hands on project. However thera are some limitations with the platform with grading