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.
2276 - 2300 of 2,880 Reviews for Machine Learning with Python
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 17, 2022
It's always better to study materials made by IBM. Understandable concepts & great project experience.
By Aditya S
•Jun 29, 2020
More peer graded assignments should be there , so that learners get more practice for building models.
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 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