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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,862 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.

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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2576 - 2600 of 3,169 Reviews for Machine Learning with Python

By Merima R

Aug 4, 2025

Definitely way more granular than I was expecting, but a great course.

By jince g

Nov 30, 2019

Great course focusing on the fundamental concepts of machine learning.

By David O

Jun 26, 2024

Un buen punto de partida para comenzar con el aprendizaje automatico.

By TANMAY D P

Jul 10, 2020

Very properly Explained, will love to learn more from the instructor.

By Bimal T

Jun 3, 2020

The Course Content is good, but the code is not explained in details.

By Thanh K ( V

Apr 26, 2020

most of the codes are too hard to follow, need more detail narrations

By Dorjee G

Nov 11, 2019

Great course, great instructor. I enjoyed doing the Lab works.

Thanks,

By Mahendra S

Jul 21, 2019

Contents are very useful and informative. A good start for beginners.

By Yusuf A Y

Jul 25, 2025

I really appreciated the structure and clarity of the whole course.

By Mujeebullah Y

Oct 23, 2019

Good course. However, they need to explain the code more in details.

By Subhara S

Oct 26, 2022

This was a very good course who are want to learn the basics from.

By Danny R

Jan 30, 2024

Decent theoretical intro to machine learning but not much practice

By Alexandre N

Dec 21, 2020

Recommendation systems could receive a peer-reviewed task as well.

By Hemanth A

Jul 6, 2020

A good platform for users curious about the various ML techniques.

By Dhruv V C

May 10, 2020

Marks were deducted for no reason in the peer graded assignment .

By Alexios M

Mar 13, 2021

Well-structured course. It drives you stop-by-step in most cases.

By Harish K

Jul 1, 2023

This course is very useful and also helps to improve your skills

By Nitai S

Dec 8, 2021

notebook setups for final projects could have been much better.

By mohd z

Jun 22, 2021

Awesome course with excellent content and Project based learning

By Ayushman S

Apr 6, 2020

Some concepts were hurried. But jypyter notebooks are very good.

By Felicia C

Dec 7, 2024

overall good, but I'd prefer more coding practice in python lab

By Abhinav K

Mar 2, 2019

A complete package for those who want to start from the stratch

By Tao W

Dec 31, 2023

- well structured content - I like jupyter lab, fun to try out

By Tien C B

Jan 4, 2023

There are a few misleading and vague questions in the content.

By Amlan G

Jul 21, 2022

This is a very gd course for a student to learn ML with python