Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,862 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

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.

Feb 1, 2020

Quite an informative course, well presented material without being overbearing for newcomers to ML. Highly recommended to everyone with prior CS experience who wants to get into AI/ML workloads.

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By Sagnik C

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Jun 25, 2022

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Jun 13, 2022

good

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May 22, 2022

Nice

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May 15, 2022

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Mar 31, 2022

nice

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Jan 30, 2022

best

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Jan 11, 2022

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Jan 11, 2022

GOOD

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Dec 23, 2021

good

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Dec 20, 2021

good

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Nov 3, 2021

GOOD

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Oct 11, 2021

good

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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

good

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Apr 21, 2021

good

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Apr 3, 2021

Good

By Kasi V

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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