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!
TG
Sep 24, 2020
Excellent course for beginners to data science field. Would have been better if the final project also included flavor of other ML methods such as Regression, Clustering or Recommender Systems.
2526 - 2550 of 3,179 Reviews for Machine Learning with Python
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.
By Miguel A M
•Sep 8, 2025
Demasiada estadística para los programadores, me ha costado mucho algunos conceptos.
By Ammar S
•Sep 2, 2024
Overall is good. Maybe improvement in terms of simple introduction to deep learning.
By Sadabrata K
•Mar 22, 2020
Random Forest Classifier is not included. Everything else is very good. Nice course.
By Devraj S
•May 1, 2020
It will be more helpful if this course has a more detailed explanation of the codes
By Eden P
•Apr 11, 2020
Really enjoyed this one. Quite challenging in places however rewarding nonetheless.
By HUSENI N G
•Mar 19, 2020
VERY GOOD SYLLABUS & COURSE MATERIAL
VERY GOOD SUPPORT FROM COURSERA SUPPORT TEAM.
By Naomi R
•May 16, 2022
Great course but it would be good if it covered the preprocessing of data as well
By Dhaivat P
•Apr 19, 2020
It is a very good course and the instructor is so good you get code to practice on
By Eric B
•Jan 20, 2020
Good introductory course covering most of the basic ML algos. Wish it covered NLP.
By Labib F
•Apr 23, 2025
A great course indeed. Gives a clear idea about algorithms and evalution metrics.