Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,876 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

Sep 5, 2021

This course just gave me substantial and valuable knowledge on ml algorithms and how to apply it using python. As a result, it was a benefiting journey for me. Thanks a lot for such a course.

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.

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Aug 26, 2025

Good

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Aug 11, 2025

good

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May 8, 2025

GOOD

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Apr 15, 2025

Good

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Apr 9, 2025

nice

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Apr 9, 2025

good

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Apr 6, 2025

Good

By IV C 5

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Mar 31, 2025

Best

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Mar 15, 2025

good

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Feb 28, 2025

good

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Feb 27, 2025

good

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Feb 15, 2025

good

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Feb 8, 2025

Good

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Good

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Jan 21, 2025

good

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Sep 16, 2024

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Aug 25, 2024

good

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good

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Aug 21, 2024

good