Learner Reviews & Feedback for Machine Learning with Python by IBM
About the Course
Top reviews
FO
Oct 9, 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 7, 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.
2301 - 2325 of 2,925 Reviews for Machine Learning with Python
By Giorgio G
•May 20, 2020
Great Course, Opportunities for improvement: go a little deeper on the algorithms strengths and weaknesses.
By Lakshit .
•Jul 26, 2021
The Content was brilliant but If you can add Reinforcement Learning to this course then it'll be more fun.
By Gabriel C
•Feb 19, 2020
Very comprehensive in terms of topics covered, but could be improved with videos to walk through tutorials
By Christian F
•Jun 3, 2020
Could have covered also Neural Networks and Random forest, but overall it was a very high-quality course.
By VARUN B
•Feb 11, 2020
Need more clarifications about the code in the lab session and the explanation of concepts are Excellent.
By Hichem D
•Jul 11, 2020
the course was awesome, easy to understand even for someone with no prior knowledge in machine learning
By William O
•Jun 25, 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 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 15, 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 16, 2020
Covers all the basics of sklearn library. Would have been nice to have more assignments/practice.
By Joseph L
•Jul 25, 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 18, 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.