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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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2626 - 2650 of 3,169 Reviews for Machine Learning with Python

By Arriouach M

Apr 19, 2024

Good experience, I have learned, more skills about ML.

By MOHIT Y

Oct 18, 2021

If You are a beginner then don't start with this course.

By Jan J Y

May 18, 2021

Some issues with importing libraries using the notebooks

By Brendan W

Apr 8, 2020

Excellent course, lots of typos in the lab instructions.

By AVIJIT S G

Sep 1, 2024

Great But Not the Best. But still better than the rest.

By Kshitij G

Nov 16, 2021

Good Intro of ML algorithms for beginners/intermediates

By Thomas

Jun 26, 2020

This is a good course I wished it was more challenging.

By Abdul M A

May 14, 2019

very good lecture but not detailing notes to back it up

By Agrim R

Jun 27, 2022

please provide vedios for python code explanation also

By VISHAL P

Jul 27, 2020

this course was amazing for statistical field student

By Jayant D

Jul 29, 2019

Explanation is good but code practice could be better.

By micheal k

Feb 14, 2023

great course

although short, many things are discussed

By Javier G R

Apr 10, 2023

I would like some bibliography for deeper knowledge.

By Rafael M S

Feb 14, 2023

Very good courser but some videos are too much long.

By NANDINI J 2

Jan 21, 2023

The course is well-arranged. Perfect for beginners.

By Penumarthi S R

May 24, 2020

I would highly recommend people to take this course.

By Mohammad P

Feb 1, 2023

Great content and hands on lab to grasp the concept

By Vithushan V

Jun 19, 2022

Very Good Course. I really enjoy my final project.

By Pokkunuri S C

Nov 28, 2019

All the videos and practice exercises are wonderful

By Hassan B

Oct 22, 2019

I enjoyed this course. It contains a great content.

By Youssef A

Apr 24, 2025

Very good & helful content, but not for beginners.

By Zach H

Feb 25, 2024

Could use more extension materials/further reading

By هاني ا

Feb 20, 2022

Some video need to be updted , else its v.good

By Rafi O

Jun 21, 2020

Great course. Some errors need to be fixed though.

By Benjamin L

Oct 30, 2019

The final assignment was not as good as I expected