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

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.

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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Nov 3, 2021

GOOD

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Oct 11, 2021

good

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Sep 18, 2021

good

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Sep 1, 2021

nice

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Aug 31, 2021

good

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Aug 22, 2021

best

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Aug 11, 2021

good

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May 28, 2021

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good

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Apr 3, 2021

Good

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Nov 5, 2020

good

By BARATHKUMAR G

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Oct 2, 2020

BEST

By Sitavra H

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Aug 31, 2020

Nice

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Aug 31, 2020

Good

By Noushad M

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Aug 14, 2020

Best

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Jun 12, 2020

Good

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May 24, 2020

good

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good

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Mar 30, 2020

Good

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Mar 9, 2020

good

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Feb 6, 2020

good

By Satheesh K S

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Jan 12, 2020

Good

By Ahmed A

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Dec 3, 2019

good

By Prabhu M

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Sep 9, 2019

good

By Gurnam S

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Mar 4, 2019

Good