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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
18,084 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.

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.

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By Hung P

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Apr 6, 2025

Good

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Mar 31, 2025

Best

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Mar 15, 2025

good

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Feb 28, 2025

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Feb 26, 2025

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Feb 8, 2025

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Feb 3, 2025

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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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good

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Aug 17, 2024

good

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Good

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Jul 24, 2024

good

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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

Good

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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 16, 2023

good

By Appasami G

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Oct 16, 2023

Good

By Mahir M

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Sep 19, 2023

nice