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

May 25, 2020

Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!

Oct 8, 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

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By Deeptiman D

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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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Apr 26, 2022

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Mar 31, 2022

nice

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Jan 30, 2022

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Jan 11, 2022

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Jan 11, 2022

GOOD

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Dec 23, 2021

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Dec 20, 2021

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Nov 3, 2021

GOOD

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Oct 11, 2021

good

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Sep 18, 2021

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Sep 1, 2021

nice

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Aug 31, 2021

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Aug 22, 2021

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Aug 11, 2021

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May 28, 2021

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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

By satyaraj d

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Aug 31, 2020

Good