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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,910 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

FG

Aug 28, 2019

Very informative course, showing mostly how to use many different Machine Learning techniques. Although mathematical details are not discussed much, the intuition of the methods are discussed.

JT

Apr 17, 2020

This course was a great taster for machine learning techniques. My only recommendation would be to add more explanation on tuning techniques for models and cover more of the supporting mathematics.

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By HAMZA B

Jan 21, 2025

good

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Sep 16, 2024

Good

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Aug 25, 2024

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good

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Jun 3, 2024

good

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May 8, 2024

nice

By 01fe21bec413

Mar 6, 2024

Good

By Febrian Z

Jan 17, 2024

Good

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Jan 17, 2024

Nice

By RAWAN T F A

Nov 11, 2023

cool

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Oct 16, 2023

good

By Appasami G

Oct 16, 2023

Good

By Mahir M

Sep 19, 2023

nice

By Hamza A

Sep 1, 2023

well

By Umar M Y

Jul 12, 2023

100%

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May 29, 2023

good

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Apr 13, 2023

good

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Jan 26, 2023

nice

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Jan 23, 2023

good

By Lallapati H R

Dec 29, 2022

Good

By Kartik C

Sep 7, 2022

good