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 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
•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 Alex Z
•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
par Monnappa
•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.
par Shivanand R K
•Great and Excellent thoughts and course material.
par Martin S
•Very practical tools and also very encouraging!!
par Umair R
•Brian Caffo's courses are, as always brilliant.
par Amarante G
•This is a excelente course like all the others.
par Prohnițchi V
•Great course. A lot of extremely useful stuff.
par Hariharan D
•Good course content and practical exercises !!
par Dora M
•Really enjoyed this class and learned a lot!
par Bopeng Z
•Good practice. Very practical skills learned
par FARZAD R
•Really wonderful and very practical course .
par Filipe M d L
•This is an excellent course, very exciting.