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
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!!
Course content is very nice and covered aptly. I feel that some where more depth was necessary to understand the algorithms.
By bob n•
Tough, but fair weekly assessments. Lecturer is a bit on the dry, boring side. Be careful not to let you attention drift.
By BHAGYASHREE B•
Other than the subtle mistakes, the overall course was very informative. I wish there were more practise exercises though
By Mohamed S•
A comprehensive course by a wold class university,some teaching could have been better by using more interactive methods.
By Amaira Z•
Well explained course with good material in python, may be an additionnal week is needed for the unsupervised learning
By Ekun K•
This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.
By Wynona R N•
Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!
By Amanda V C•
You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.
By 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!
By Alexandr S•
It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!
By Bharat G•
Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.
By 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
By 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.
By divya p•
course is very informative with hands on details, assignments and quizzes are very useful for assessment
By Maxim P•
Nice there could just be a bit more of a case study to see the difference and decision ways in practices
By Jesús P S•
great course but could be improved with a better explaining of the class on board for abstract concepts.
By shashank m•
Very intuitive course...and carefully designed so that it does not overwhelm the students with details
By ZHAI L•
Compared to previous two courses in this specialization, this course need more time for self-learning.
By Justin M•
Great course overall. Only reason for 4 stars is some of the assignments could use a bit more clarity.
By Manjeet K•
Easy to learn the course, just be focussed. Its an applied ML course, not to expect any mathematics.
By Ulka K•
I found the dataset in the last assignment difficult to interprit. I was hoping for a simpler one.
By Stephen R•
Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking