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
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.
автор: M V B•
It was a great experience learning through Coursera ,who provides best faculty for making students understand easily.
thank you Cousera
автор: Prathmesh D•
It was a great learning with you all got little problems but solved as per instructions and they helped me through that,thanking you
автор: PRATIKKUMAR A P•
ience of machine learning using python. Very well explained algorithms and application through modules and assignments.
автор: Dr. P R K•
Unlike the name suggests, this course only covers the Supervised learning side of the ML. However, the supervised side is good.
автор: Michael S•
Everybody has different skill levels, but this was really hard and really, really, really fast.
Did I say it was really fast?
Course content is very nice and covered aptly. I feel that some where more depth was necessary to understand the algorithms.
автор: bob n•
Tough, but fair weekly assessments. Lecturer is a bit on the dry, boring side. Be careful not to let you attention drift.
автор: BHAGYASHREE B•
Other than the subtle mistakes, the overall course was very informative. I wish there were more practise exercises though
автор: Mohamed S•
A comprehensive course by a wold class university,some teaching could have been better by using more interactive methods.
автор: Amaira Z•
Well explained course with good material in python, may be an additionnal week is needed for the unsupervised learning
автор: Ekun K•
This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.
автор: Wynona R N•
Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!
автор: Amanda V C•
You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.
автор: Rohith S•
A few more code examples would have helped better understand various packages provided by Python and how to use them
Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!
автор: Alexandr S•
It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!
автор: Bharat G•
Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.
автор: Alpan A•
Very good curriculum with a hands on project. However thera are some limitations with the platform with grading
Complete course on supervised learning
Would be nice to cover PCA and unsupervised learning in the assignments
автор: Andres V•
the final assignment was too hard compared to the other assignments and the contens given in the last module
A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.
автор: divya p•
course is very informative with hands on details, assignments and quizzes are very useful for assessment
автор: Maxim P•
Nice there could just be a bit more of a case study to see the difference and decision ways in practices
автор: Jesús P S•
great course but could be improved with a better explaining of the class on board for abstract concepts.
автор: shashank m•
Very intuitive course...and carefully designed so that it does not overwhelm the students with details