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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,601 ratings

About the Course

Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn key ML concepts, build models with scikit-learn, and gain hands-on experience using Jupyter Notebooks. Start with regression techniques like linear, multiple linear, polynomial, and logistic regression. Then move into supervised models such as decision trees, K-Nearest Neighbors, and support vector machines. You’ll also explore unsupervised learning, including clustering methods and dimensionality reduction with PCA, t-SNE, and UMAP. Through real-world labs, you’ll practice model evaluation, cross-validation, regularization, and pipeline optimization. A final project on rainfall prediction and a course-wide exam will help you apply and reinforce your skills. Enroll now to start building machine learning models with confidence using Python....

Top reviews

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.

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.

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2951 - 2975 of 3,105 Reviews for Machine Learning with Python

By dk

Nov 22, 2019

不建议新人学,这个是系列课程的一部分,内容不多 只讲个大概给你听

By Omkar A

Jun 17, 2019

Practical Classes were Missing.

By Avni G

Apr 18, 2025

how do i access my certificate

By David P P

Jul 27, 2024

Labs take too long to execute

By Carlos F

Jun 14, 2021

No one answers on the forum.

By aditi m

Nov 18, 2020

Very difficult for beginners

By Scheef K

Nov 22, 2022

beginners, not intermediate

By Philip F

Jan 24, 2019

the tool for HW doesnt work

By MOHAMMED A A A

Feb 4, 2024

Contains outdated material

By Manoj P

Oct 30, 2018

can be done much better

By Emily A R C

Jul 16, 2025

Its not that friendly

By Rao M H

Apr 1, 2020

Lab are working worst

By Rajesh K R

Dec 12, 2019

Good for beginners

By Сокол С А

Dec 2, 2019

Too superficial

By Ayman

Dec 21, 2024

Special Course

By Bido Y

Jan 9, 2024

not bad,useful

By Anand V S C

Nov 29, 2022

Too simplistic

By Md M M

Apr 7, 2024

Nice course,

By Sumika M

Jan 15, 2022

Good Course.

By fatama j

Oct 31, 2022

good.

By Swastika B

Jun 3, 2022

GOOD.

By SALMA J

Jan 23, 2025

GOOD

By sandra h e

Nov 28, 2023

good

By Akash D

Aug 20, 2020

Good

By Lyn S

Aug 23, 2019

It's too bad some people with phds and very poor teaching skills think they can write up some code and feel they are teaching these classes. That being said, it's super cheap and it's very easy to find information online to supplement the lack of adequate descriptions of the topics. Changes that would make me more likely to take another coursera class :

Don't have a bunch of really short videos, combine them into one longer one.

If there is text or code on a slide, make sure that is in the transcription.

Don't have the dumb popup questions that stop the video and make you find the mouse and click to restart the video. Many of us are listening to the video doing something else, I listen over and over. Sometimes, I have to read the transcription to understand what is being said, so I have to stop, get the mouse, click back up to the slides, press SKIP, etc...

If you have an exam, make sure to later send us the answers - e.g. the code that we were expected to write. This is the weakest and most frustrating part of this class. I was not sure how to some things, in part because I wasn't sure what was being asked, to what detail. Even the class discussions showed we weren't sure what data set to use for what. It seems to rely on peer grading, but most of the responses I got from peers was either completely absent or not useful. But thanks for keeping this relatively cheap.