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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
18,258 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

RC

Feb 6, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

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!

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2226 - 2250 of 3,252 Reviews for Machine Learning with Python

By 邹思圆

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Feb 27, 2025

good

By Anupa H

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Feb 15, 2025

good

By Krittika D

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Feb 8, 2025

Good

By PASHAM N

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Feb 3, 2025

Good

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Jan 21, 2025

good

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Sep 16, 2024

Good

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Aug 25, 2024

good

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Aug 25, 2024

good

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Aug 21, 2024

good

By vaibhav c

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Aug 17, 2024

good

By BIKRAM P

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Aug 9, 2024

Good

By Bandreddy t

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Jul 24, 2024

good

By MUHAMMAD D

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Jun 3, 2024

good

By Naufal H

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May 8, 2024

nice

By 01fe21bec413

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Mar 6, 2024

Good

By Febrian Z

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Jan 17, 2024

Good

By vikash k

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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

By Appasami G

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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