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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,937 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.

RN

May 25, 2020

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!

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2576 - 2600 of 3,185 Reviews for Machine Learning with Python

By Jose M D C

May 22, 2024

Buen Curso, lo lleva al conocimiento del aprendizaje automaticocon python

By Desabandhu P

Jul 4, 2023

Recommender system is removed unfortunately..It should be included again.

By Vivek K G

Apr 28, 2020

Well, the theoritical teaching was good but average practical experience.

By Peve B

Feb 14, 2025

C'était vraiment une expérience enrichissante merci a toute l'équipe....

By Escape K

Nov 11, 2024

I am somewhat new to Python and the lab is a very great feature to have.

By Muhammad H B R

Aug 27, 2024

The videos are a little slow paced. Otherwise, the content is very good.

By Graham T

Mar 21, 2024

A beginner-frienldy course and a great way to get into Machine Learning.

By reshi u

Feb 25, 2024

amazing , 4 * only because I wished the final exam were really tough :-)

By Priyanshu C

May 1, 2020

Lab sessions are difficult with less explanations. Hope you work on it!!

By Fulvio C

Nov 26, 2019

The lab are very important in this module, the video should be updated..

By David Z

May 7, 2020

Could be more beginner friendly, and explain further, but great course!

By Apurv A S

Mar 30, 2020

Lectures are good but there are not much hands on Practice Assignments.

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.