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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,973 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.

IK

Dec 13, 2022

Thank you Coursera & IBM for offering such a wonderful career-oriented course. Thank you very much Dr SAEED AGHABOZORGI and Dr Joseph Santarcangelo for providing the amazing learning Journey.

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2251 - 2275 of 3,200 Reviews for Machine Learning with Python

By Satheesh K S

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Jan 12, 2020

Good

By Ahmed A

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Dec 3, 2019

good

By Prabhu M

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Sep 9, 2019

good

By Gurnam S

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Mar 4, 2019

Good

By Mrinal G

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Dec 3, 2018

nice

By Mazen K H

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Jul 24, 2025

i’m

By Asmaa A Z E

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Apr 8, 2025

Wow

By AKALYA S P

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Jul 25, 2024

GUD

By Marcio F V

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Nov 15, 2021

OK!

By Abhijit P

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Jul 7, 2020

okk

By Gurmeet K S

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Jun 23, 2025

..

By Hanumanthavarjula S A

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Mar 18, 2025

ON

By KOWSHIK A

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Oct 28, 2024

na

By Thorp O

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Jun 28, 2024

no

By Johan M T B

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Feb 29, 2024

ok

By Sundarlal

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Nov 7, 2022

NA

By Dr. A K S

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Jul 17, 2022

ok

By PRANEYA S L

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Dec 22, 2021

ht

By Talha A

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Sep 29, 2019

<3

By Ahmed A M

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Feb 7, 2019

ff

By Mohammed W S

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Nov 20, 2025

.

By Lourdes V O M

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Nov 19, 2025

n

By Germán E

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Aug 19, 2025

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By 藤代拓実

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Jun 29, 2025

あ