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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,973 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

RV

Jan 14, 2025

good course , some part is typical more statistical part shown, even i have good understanding of ML , so new learner will find little typical. rest tutor voice and language is understandable.

IK

Dec 13, 2022

Thank you Coursera & IBM for offering such a wonderful career-oriented course. Thank you very much Dr SAEED AGHABOZORGI and Dr Joseph Santarcangelo for providing the amazing learning Journey.

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3101 - 3125 of 3,200 Reviews for Machine Learning with Python

By Debra C

Mar 24, 2019

Found this course to be confusing. With that said, it was not a waste of time since there are some labs that are beneficial in understanding the concept.

By eduardo m r

Apr 7, 2020

The final assignment was completely bizarre, I think there are missing some instructions to guide the student, and the avaliation was completely 0/1.

By aa

Nov 13, 2019

Have to sign up IBM account in order to complete the last (most important) project, which is like doing advertising on purpose.

By Jesse Z

Jul 15, 2019

Introduced a lot of code in the assignments while providing no explanation of what it does. Lazy course writing.

By Gary S

May 3, 2019

Course has glitch in final assignment. People are completing but it is not completing the course for them.

By Bernardo N B C F

Jul 15, 2019

A lot of spelling errors during the course. The sample presented on the final project is very basic.

By Carlos A

Jun 23, 2020

The course lacked material on several subjects, and the assignment need more explanation.

By Tejasva k

Feb 15, 2025

Not for someone who is looking for a in depth course, it just scratches the surface.

By Djaber B

Aug 24, 2019

"Time series" prediction is missing, I was passionate to learn about that.

By BOGATHI H K R

Apr 18, 2023

I AM NOT SUITABLE FOR THIS COURSE. I LOOKING FOR CODING KNOWLEDGE.

By Nicholas J F

Nov 18, 2019

Just teaches you to go through the motions. No real understanding.

By LE R S

Oct 31, 2025

Good quality on the first chapters, but after that it degrades

By ahmed f

Feb 2, 2019

not very detailed course and proper knowledge is not imparted

By Musa P (

May 14, 2019

It way to Basic. Industry demands of more depth knowledge

By Varun K

Mar 18, 2024

explanation is clear but need to upgrade to solve papers

By YUZURU T

May 5, 2021

Too many technical problems. I was always flustrated...

By Jiapeng C

Oct 3, 2022

I wish they can provide slides for users to download.

By Muhammad M A A

Aug 30, 2023

Training of Python with examples should be added.

By Gulzaman K

Jul 22, 2023

Robotic voiceover makes learning uninteresting.

By Michael M

Jan 4, 2021

Course content good. Final project is a sham

By Kevin K

Jun 14, 2023

The optional projects dont work!

Big Bummer

By Mustapha Z

Jun 22, 2020

Final exam instructions are not clear

By Seth C

Jun 9, 2024

IBM's courses are always a let down.

By Sara N G O

Aug 20, 2024

No me quiere llegar la insignia

By Girijesh J

Jun 21, 2019

very introductory level course.