Sep 8, 2017
This course is ideally designed for understanding, which tools you can use to do machine learning tasks in python. However, for deep understanding ML algorithms you should take more math based courses
Nov 26, 2020
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.
创建者 M V B•
Oct 9, 2020
It was a great experience learning through Coursera ,who provides best faculty for making students understand easily.
thank you Cousera
Mar 31, 2021
This course is useful, but the code is not updated, and the assignment and Module codes returned a lot of code deprecation warnings.
创建者 Prathmesh D•
Jul 15, 2020
It was a great learning with you all got little problems but solved as per instructions and they helped me through that,thanking you
创建者 PRATIKKUMAR A P•
Aug 23, 2020
ience of machine learning using python. Very well explained algorithms and application through modules and assignments.
创建者 Muhammad I•
Aug 27, 2021
Best Course if you are searching for the applied side of Machine learning and Assignment are very helpfull to make mucssle memory
创建者 MARCO S M H•
Feb 7, 2021
excellent course, except for the last week. I think that the last part about decision trees, NN and randomforest could be better
创建者 Dr. P R K•
Jan 23, 2018
Unlike the name suggests, this course only covers the Supervised learning side of the ML. However, the supervised side is good.
创建者 Michael S•
Jun 29, 2019
Everybody has different skill levels, but this was really hard and really, really, really fast.
Did I say it was really fast?
创建者 New_diver N•
May 22, 2019
Course content is very nice and covered aptly. I feel that some where more depth was necessary to understand the algorithms.
创建者 bob n•
Aug 31, 2020
Tough, but fair weekly assessments. Lecturer is a bit on the dry, boring side. Be careful not to let you attention drift.
创建者 BHAGYASHREE B•
May 9, 2020
Other than the subtle mistakes, the overall course was very informative. I wish there were more practise exercises though
创建者 Mohamed S•
Mar 26, 2020
A comprehensive course by a wold class university,some teaching could have been better by using more interactive methods.
创建者 Amaira Z•
Jan 12, 2021
Well explained course with good material in python, may be an additionnal week is needed for the unsupervised learning
创建者 Ekun K•
Jul 16, 2020
This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.
创建者 Wynona R N•
Jun 23, 2020
Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!
创建者 Amanda V•
Jun 2, 2018
You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.
创建者 Rohith S•
Nov 16, 2017
A few more code examples would have helped better understand various packages provided by Python and how to use them
Feb 2, 2019
Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!
创建者 Alexandr S•
Feb 24, 2019
It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!
创建者 Bharat G•
Aug 30, 2017
Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.
创建者 Alpan A•
Nov 27, 2019
Very good curriculum with a hands on project. However thera are some limitations with the platform with grading
创建者 Amine T•
Jun 21, 2017
Complete course on supervised learning
Would be nice to cover PCA and unsupervised learning in the assignments
创建者 Andres V•
Oct 16, 2020
the final assignment was too hard compared to the other assignments and the contens given in the last module
Feb 9, 2019
A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.
创建者 divya p•
Sep 4, 2020
course is very informative with hands on details, assignments and quizzes are very useful for assessment