Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,885 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

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.

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!

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By Kasi V

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Nov 5, 2020

good

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Oct 2, 2020

BEST

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Aug 31, 2020

Nice

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Aug 31, 2020

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Aug 14, 2020

Best

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May 24, 2020

good

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Mar 10, 2020

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Feb 6, 2020

good

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Jan 12, 2020

Good

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Dec 3, 2019

good

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Sep 9, 2019

good

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Mar 4, 2019

Good

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Dec 3, 2018

nice

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Jul 24, 2025

i’m

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Apr 8, 2025

Wow

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Jul 25, 2024

GUD

By Marcio F V

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Nov 15, 2021

OK!

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Jul 7, 2020

okk

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