RN
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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!
JL
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I am happy to have this online education, I drop out my nuclear engineering degree, I am happy to learn practical things with future... I work for IBM also...but I want to become a data scientis
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 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 V
•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 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.