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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
18,253 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

RN

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!

AG

Feb 1, 2020

Quite an informative course, well presented material without being overbearing for newcomers to ML. Highly recommended to everyone with prior CS experience who wants to get into AI/ML workloads.

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By Krittika D

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Feb 8, 2025

Good

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Feb 3, 2025

Good

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Jan 21, 2025

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Sep 16, 2024

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Aug 9, 2024

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Jul 24, 2024

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Jun 3, 2024

good

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May 8, 2024

nice

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Mar 6, 2024

Good

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Jan 17, 2024

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Jan 17, 2024

Nice

By RAWAN T F A

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Nov 11, 2023

cool

By RAMJI R (

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Oct 17, 2023

good

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Oct 17, 2023

Good

By Mahir M

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Sep 19, 2023

nice

By Hamza A

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Sep 1, 2023

well

By Umar M Y

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Jul 12, 2023

100%

By Vangala H r

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May 29, 2023

good

By ANGAD K

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Apr 13, 2023

good

By Tanzeel A

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Jan 26, 2023

nice

By Thudimilla S

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Jan 24, 2023

good