Learner Reviews & Feedback for Machine Learning with Python by IBM
About the Course
Top reviews
RN
May 25, 2020
Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!
FO
Oct 8, 2020
I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.
2551 - 2575 of 3,243 Reviews for Machine Learning with Python
By William O
•Jun 24, 2020
Thank you so much!
The content was appropriate for my interests. I learned a lot and it was so accurate.
By Krishna M
•Apr 22, 2019
The course is aptly structured for intermediate learners - just the right level of complexity and ease.
By Abhijit S
•Jan 16, 2022
It's always better to study materials made by IBM. Understandable concepts & great project experience.
By Aditya S
•Jun 28, 2020
More peer graded assignments should be there , so that learners get more practice for building models.
By Jose M D C
•Nov 30, 2025
This course is really good, just a couple of courses that are unupdate but overall, it is really good
By Brannon C
•Jun 21, 2020
Great overview for many of the key Machine Learning algorithm types using in Python for Data Science.
By ABU H M A R
•Jan 5, 2020
Great course for the fundamentals of different machine learning techniques. Enjoyed this wuite a kot
By Manal C
•Nov 27, 2019
Recommending more emphasis on the coding behind the algorithm (reminders / links to references ...)
By Matthew A
•Jun 14, 2019
This was a good course - but still could use more hands-on exercises to go along with the lectures.
By 018 A D
•May 19, 2020
it was a nice course but there must be a little explanation video of the codes written in the labs
By Brian G
•Jun 17, 2019
Would've liked the labs to be a little less demo and more DIY, but otherwise outstanding material.
By Jacopo R
•Nov 4, 2025
Nice course for the basis in scikit-learn. The notebook for the final exercise can be done better
By david m
•Feb 23, 2025
The course was good however at some Point, labs started feeling like advertising for IBM's SNAPML
By Mitchell H
•May 15, 2020
Covers all the basics of sklearn library. Would have been nice to have more assignments/practice.
By Joseph L
•Jul 24, 2019
I am enjoying the course so far. Very well explained with a pretty comprehensive course material.
By nilay m
•Mar 11, 2019
it was a nice course giving basics of every ML algorithm and i am all in all very much benefited.
By Saptashwa B (
•Mar 4, 2019
The course is pretty good, I just hope the printing mistakes in the slides will be corrected soon
By ADEJOKUN A
•Apr 27, 2020
The underlying concepts of the various algorithms were broken down and delivered with simplicity
By Asser M
•Nov 24, 2025
Great and valuable information! However, delivery sometimes lacks further explanation or depth.
By Mahesh W
•Apr 18, 2025
Very disappointed the slides are not available for download, resulting in a lot of wasted time.
By Sisekelo M
•Nov 12, 2025
Great course. Needs a few editing with the grammar, however the content is quite educational.
By ASTHA S 2
•Nov 11, 2025
good course but not beginner friendly you must have prior knowledge of Python, NUMpy, Pandas.
By Bala M
•Sep 17, 2019
Excellent course explaining all the essential details to kick of the ML journey using Python.
By Lovish G
•Apr 25, 2024
Difficult to understand for a Non-mathematical student. Overall a great learning experience.
By Neil C
•Aug 29, 2020
It was a good course but the final exam could do with more structure around what is expected