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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,876 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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1526 - 1550 of 3,169 Reviews for Machine Learning with Python

By GABRIEL D S

Oct 24, 2021

This was a very good course.

By Muhammad A W

Dec 4, 2020

Recommended for others also.

By Cesar E G

Aug 31, 2020

Quite a learning experience!

By AKASH K

Aug 13, 2020

Good course to begin with ML

By Rahul R

Jul 24, 2020

Thank you coursera......🙏🙏

By Róbert K

Feb 20, 2020

Very good course, thank you.

By Josh H

Jan 10, 2020

Very informative and amazing

By utkarsh b

Dec 15, 2019

good material and excercises

By Robert A

Dec 9, 2019

Very great course thank you.

By Amira R B

Dec 7, 2019

Such a wonderful experience.

By GAURAV B

Nov 5, 2019

Nicely articulated use cases

By Daniel C

Oct 18, 2019

This is an excellent course.

By Deleted A

Oct 14, 2019

Last assignment is very hard

By Santiago

Aug 26, 2019

really nice course thank you

By Guerra R

Apr 2, 2025

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By Aaradhya J

Jun 7, 2024

The course was very helpful

By aditya k

Jul 27, 2023

Best course for a beginner.

By Kanti P

Jun 8, 2022

It is a great course for me

By Chris P

Feb 22, 2021

Overall pretty good course!

By MD A U

Oct 29, 2020

This is a very good course.

By Putrawan R

Jun 7, 2020

great material and exercise

By Krishno S

Jun 6, 2020

Excellent! nice Explanation

By Andrew K

Apr 27, 2020

Excellent. My favourite one

By sepide s

Apr 1, 2020

thanks and learn the bestly

By Santiago A C

Oct 23, 2019

excelent! i learned so much