Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,995 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

Oct 9, 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.

Dec 14, 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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By 020_Divya P

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Aug 31, 2021

good

By EDARA P P V T C

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Aug 22, 2021

best

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Aug 11, 2021

good

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May 28, 2021

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Apr 3, 2021

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Nov 5, 2020

good

By BARATHKUMAR G

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Oct 2, 2020

BEST

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Sep 1, 2020

Nice

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Aug 31, 2020

Good

By Noushad M

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Aug 14, 2020

Best

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Jun 13, 2020

Good

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May 24, 2020

good

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Apr 2, 2020

good

By TALASILA V

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Mar 31, 2020

Good

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Mar 10, 2020

good

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Feb 6, 2020

good

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Jan 12, 2020

Good

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Dec 3, 2019

good

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Sep 9, 2019

good

By Gurnam S

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Mar 5, 2019

Good

By Mrinal G

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Dec 4, 2018

nice

By Mazen K H

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Jul 25, 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