MM
Sep 22, 2022
T鈥媓is course is very helpful. The wonderfull part in this course was the final course project in which I had to create my own linear regression model by adding polynimial features and regularization.
GP
Nov 24, 2022
Great Course curated by IBM team. It is really designed well and helps to achieve the goal. It is as per the industry standard, and practical. One can do this course thoroughly and get a job.
By MUPPIDI H
鈥Aug 16, 2022
ok
By Dr. R M
鈥Jun 2, 2024
-
By Dan M
鈥Feb 13, 2023
As someone with a science background, I have done a great deal of curve/model fitting. This course seems like it would be a useful introduction to these areas. As with other courses in this series, this course displays some useful shortcuts and streamlined methods for doing this work and the coded examples are useful to keep as go-bys for use in future work. On the downside, this course only covers variations on fitting a straight line to your data so it feels rather basic to be classed as "machine learning", and is simpler than I would have hoped for an intermediate course.
By Nawab K
鈥Sep 12, 2023
this course was awesome from learning point of view as it was more detailed and required pre beginners knowledge about key concepts to move ahead . i have learned many concepts about machine learning models,
statistics , theory implementation part.
what i most enjoyed was the lab work as it was more detailed and there were plenty of things to learn from .
By Hossam G M
鈥Jun 23, 2021
This course is very great. it focuses mainly on codes and how to get your models trained well with the best results. and for that a prior knowledge of the algorithms and the coding language in addition to the different libraries would be better.
By Sebastian W
鈥Jun 20, 2024
Easy to understand and apply (+). Some code uses deprecated functions/methods. (-) Assignment answers seem to be mixed up (on very few occasions) so one has to randomly try out the correct answer to get 100%. (-) Issues reported.
By Sid C
鈥Mar 22, 2022
4/5 simply because not all the lesson Jupyter Notebooks are downloadable--the download links do not work. But the course content is very educational and has a good balance of difficulty enough to challenge you while learning.
By Abdulwaliyi J
鈥Aug 18, 2024
It's a nice course it deserve a 5/5 but some common and better regression algorithm like Decision Trees and Random Forest were not taught unlike the Classification part. Thanks
By Gianluca P
鈥Jun 4, 2021
very clear contents and explanations. Regression methods are thoroughly explained. Examples of coding are indeed a very good basis to start coding on the project.
By Gourav G
鈥Feb 25, 2022
AN amazing course and contain really time values content only regret is that coursera doesn't come in dark mode
By Rahmi R
鈥Mar 19, 2025
Interesting course focusing more on the regression for the machine learning
By Pankaj Z
鈥Apr 19, 2021
Very helpful course. There are few ups and downs but overall its helpful.
By Mehdi S
鈥Jan 21, 2021
Good course with nice exemple for illustration
By Keyur U
鈥Dec 25, 2020
A great course to kick start your ML journey.
By Ihsan U
鈥Jan 24, 2025
this course material was so helpful
By Bernard F
鈥Nov 27, 2020
An truly exciting course!
By Daren L P
鈥Feb 23, 2024
thorough and well taught
By Feri I
鈥Aug 24, 2022
I like this is cuourse
By hassen g
鈥Oct 21, 2022
Great course
By Michael A
鈥Feb 6, 2025
very intense
By Nidhi K
鈥Nov 14, 2024
best course
By PUJA S
鈥Nov 25, 2024
excellent
By Iddi A A
鈥Dec 12, 2020
Excellent
By R U F U S
鈥Oct 6, 2024
good one
By Juhi S
鈥May 20, 2022
GOOD