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 Fengping W•
It is really a good one, and I learn a lot here, both for theory and applied skills. And the reading materials are really good resources
By Shuyi Y•
This course is great because I received so much training in applying the ML packages and functions python. A lot of hands-on experience!
By Marcelo P•
Great course! Superb professor! Very well organized and structured. Lots of useful optional articles and videos. Learned a lot. Thanks!
By Nguyen K T•
A very practical course and it helps me to understand more about machine learning theory. After all, this is a great course. Thank you.
By Mehmet F C•
good one to quickly start learning ML - covering models, what they do, and how to tune them. Not going deep into the "how" models work.
By Shao Y ( H•
Very good survey of all fundamental topics of machine learning! Good resources for preparation for technical data science interview! :)
By INHOI J•
Great course. Professor delivered very complicated concepts of machine learning very easily. Quiz and assignments were very helpful.
By Keith M•
Excellent course. Very detailed, very interesting, a lot to get through in each week. Lots of great examples of code and scenarios.
By Quan S•
Course materials are very systematic and instructive, and the professor teaches very clearly. I like this course and recommend it.
By Flavia A•
Practical class to learn well-known models and scikit-learn. The practice tests are great to help you move from theory to practice.
By Aniket S K•
Good Course. Not for beginners starting with Machine Learning. Intermediate level. Prior knowledge of python libraries would help.
By Émile J•
The exercices and evaluations are more complex than in the previous courses in this short program, but also much more instructive.
By Himanshu B•
It was really an excellent well designed course, I gained valuable information that I will use as a business analytics in future.
By Ivan S F•
Very good course. Not very deep, but definitively very wide and appropriate for an overview course of machine learning in python.
By abdulkader h•
I appreciate so much this course even it was so dense and slitly short. It would be useful to extend it over several weeks again.
By usama i•
Excellent course to understand and learn about how to work with available classifiers in scikit learn. Thanks for this course :)
By Ari W R•
it is a pleasure to learn about machine learning course. I can remind and study again about the main things in machine learning.
By Jason L•
Very solid course. Covers so many key machine learning concepts in a short period of time. Week 2 is intense - but awesome!
By Mahindra S R•
Useful for understanding the application part of ML whereas Andrew Ng's course gives a more in-depth understanding of the topics
By SURENDRA O•
The course was very well designed. The pace of the lectures are perfect unlike other course when the instructor moves very fast.
By Ram N T•
The course material and Professor Kevyn Collins-Thompson is awesome. A person who's seeking to learn ML should try this course.
By STEVEN V D•
World class course.
Covers a lot of core machine learning subjects in an accessible way with a practical focus in Python.
By Peter D•
Nice pragmatic approach how to apply machine learning. Compelling examples, datasets and useful tips how to visualise features.
By Manoj K K M•
For applied machine learning, outstanding. It could be improved with bit more theory, which gives more insight to the concept.