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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
18,323 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

AJ

Jul 8, 2019

This was a very informative course. The videos provided a good background on the concepts and I found the labs especially helpful for learning to implement Python code for each technique covered.

RN

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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Jul 5, 2025

good

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Jun 22, 2025

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May 23, 2025

good

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May 8, 2025

GOOD

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Apr 15, 2025

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Apr 9, 2025

nice

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Apr 9, 2025

good

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Apr 6, 2025

Good

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Mar 31, 2025

Best

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Mar 15, 2025

good

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Feb 28, 2025

good

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Feb 27, 2025

good

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Feb 8, 2025

Good

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Feb 3, 2025

Good

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Jan 21, 2025

good

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Sep 16, 2024

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Aug 9, 2024

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Jul 24, 2024

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Jun 3, 2024

good

By Naufal H

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May 8, 2024

nice