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Back to Machine Learning with Python

Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,797 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鈥檒l 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鈥檒l also explore unsupervised learning, including clustering methods and dimensionality reduction with PCA, t-SNE, and UMAP. Through real-world labs, you鈥檒l 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

RC

Feb 7, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

FO

Oct 9, 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 HEMANDH M S

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Aug 29, 2022

GREAT

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Jul 9, 2022

great

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Oct 23, 2021

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Oct 14, 2020

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Oct 7, 2020

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Jul 4, 2020

good!

By A S R

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May 28, 2020

super

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Apr 24, 2020

great

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Mar 19, 2020

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Jan 21, 2020

goood

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Aug 13, 2019

Great

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Jul 23, 2019

鞛鞛堨棃鞚�

By AYUSH K 3

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Sep 7, 2025

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Aug 26, 2025

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Aug 9, 2025

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May 9, 2025

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Apr 15, 2025

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