Learner Reviews & Feedback for Machine Learning with Python by IBM
About the Course
Top reviews
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.
RC
Feb 6, 2019
The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.
2426 - 2450 of 3,059 Reviews for Machine Learning with Python
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 Mahesh W
•Apr 18, 2025
Very disappointed the slides are not available for download, resulting in a lot of wasted time.
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 26, 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
By Urs H
•Jun 29, 2019
Comprehensive, good to understand, minor errors in the description of the final assignḿent.
By Alex L
•Oct 18, 2022
Very eductational as a intro to machine learning - wish the homeworks were more difficult
By rk s
•Feb 20, 2022
the final peer review quiz was too difficult, should have included more practice exercises
By Ciniso M
•May 25, 2021
This course is very fruitful and it's instructors are awesome. Thank you Coursera and IBM.
By Mitanshi K
•Apr 30, 2020
Great for beginners. Explains theoretical concepts well but lags on the coding part of it.
By Vinit K S
•Apr 8, 2020
It is such a vast topic, It would have really been great if there were few more exercises.
By Ritesh P
•Dec 4, 2023
Random Forest, XGBoost etc should have been there. Decision tree explanation was amazing.
By Daniel J B O
•May 26, 2020
A little bit to basic for someone who studied the topics in the past but a good refresher
By Mauricio C
•Jul 11, 2024
Hace falta que se explique mas los cuadernos de laboratorio para entender mas la teoria
By Rubén G
•May 29, 2020
I recommend including more examples and documentation of the metrics in the algorithms.
By Aldy P
•May 29, 2020
This course didn't help Much for a beginner. But overall worth to try. Thanks Coursera!
By Asanka W
•Aug 23, 2022
Good course great explanation, but i had issues with practicles overal course is great
By Stefanos S
•Dec 18, 2020
If the last assignment was a bit easier regarding the Hypothesis Testing would be 5/5.
By Sudhir S
•Dec 2, 2018
More videos would have helped to understand concepts of subject better to apply in lab
By Sanjiv S
•Apr 24, 2025
I'm very satisfied with this specialization course. I upgraded my skills in AI and ML
By Robert F
•Aug 2, 2020
The final test portion was a little rough. Finally got the test to work successfully.
By anas m r
•Aug 2, 2020
A great introduction for ML, but you have to exert effort to understand the lab codes
By Meijuan Z
•Mar 22, 2020
Should include more details of ML algorithm, but is nice to people who are new to ML.