great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.
Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!!
By Daniel W•
Very nice course to better understand Scikit Learn and Python potential for Machine Learning
By Sultan M A A•
the course was fun and full of information to learn. very well professor. thank you so much.
By Felipe F•
Excellent applied course! Very intuitive and the instructor is very kind in his explanations
By Devashish S•
Really hands on course and the perfect way to get to know the domain and learn ML in Python.
By Bernard F•
Excellent balance of theory and practical work through code samples, quizzes and assignments
By Mengru Z•
Quite challenging course to get started with machine learning! Interesting and worth a try!
By Ishan D•
Best course to learn applied machine learning and you'll be able to apply in real life too.
By Gustavo W•
Great course! Introduces ML algorithms using python's scikit-learn in an easy to follow way
By Jun W•
A very good course. The Jupyter Notebook of this course is very useful and self-contained.
By john w•
good course. the homework actually aligned with the lesson content. I enjoyed this course
By David G N A•
Excellent course! I think University of Michigan's courses are the best ones in Coursera.
By Abdoulaye B•
This course was more challenging for me I was one of the best course so far I have taken.
By Pulkit K•
The content of the course was up to the standard. Please continue to make such course!!!!
By Konstantinos S•
Excellent course that really drives you hard to acquire hands on experience on the field.
By Omar M M•
Excellent course no doubt , thanks to the instructor and the team prepared the course ..
By Mike F•
Good course, includes the fundamental of machine learning and how they applied in Python
By Tarun P S•
Be prepared for a lot of grinding but by the end, you'll be pretty good at the material.
By Jiefei W•
Assignments provided good examples on how to select, fit and optimize a model in Python.
By Sergej G•
An amazing course, the only downside is lack of in depth unsupervised learning material.
By elsa y•
really recommend！very helpful to my study of machine learning. the material is classical
By Shubham S M•
Very Nice Platform to learn any course really worthy for student to gain some knowledge
By Anders W•
Well structured course with challenging exercises that greatly supported the learning.
By Michael I•
Good connect between the course content, lectures and the assignments. Relvant content.
By Vydumkin P•
Good ratio of new knowledge and experience vs mathematical and programming difficulty.
By Tiberiu T•
A comprehensive review of the most important concepts and methods in machine learning.