Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,987 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

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!

Jun 24, 2020

This course walks us through the fundamentals of machine learning methods. The capstone project is very useful for those who have previous knowledge of machine learning and Python programming.

Filter by:

2601 - 2625 of 3,201 Reviews for Machine Learning with Python

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

By Subash L

•

Jun 26, 2021

Over all good. The lab results could be explained a bit better