recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
par PRAKASH J M•
Pushed me to learn and experiment and make mistakes. Thank you
par Aleksey K•
Made many things clear. Perhaps, the best class in the series.
par Anna O•
a simple way of real practice of machine learning algorithms.
par Vitalii S•
No swirl exercises, but last project totally worth my time.
par Rui R•
One of the best courses in the Data Science Specialization,
par Jose R C•
The machine learning course every Data Scientist should do.
par Harini A•
Good course material and very practical oriented training
par Erich F G•
Great class. Easy to follow and I learned a great deal.
par Sebastian R•
Great intro machine learning, you will know how to use it
par Carlos B•
This was one of the better courses in the series, thanks.
par Anitha C•
I enjoyed working on this course. There is a lot good and
par ozan b•
Best course of the programme. Simple and explained well.
par Harland H•
Very informative and the project was fun to accomplish.
par Ilia S•
One of the most valuable courses in the specialization!
par Klever M•
It was a great overview of the fascinating word of ML.
par Giovanni M C V•
Excellent course with great didactic. Congratulations!
par Julien N•
nice pace, good overview to start with modelling in R
par Sanjeev R•
Introductory course but it explains the basics easily
par Hawk G•
Good solid intro to the concepts of machine learning.
par Dimitrios G•
Amazing course. Short videos packed with information!
par antonio q•
it was great, simply though exhaustive, thanks a lot
Good content as an introduction to Machine learning!
par Margaret O•
It was challenging but awesome learning expereince
par Dewald O•
great course in R, really covers the fundamentals.
par Yong-Meng G•
Insightful and practical ! One of the best so far.