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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
18,273 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

MA

Aug 31, 2020

This is an amazing course. specially for those with little knowledge with python. This course has helped with the basic understanding of Machine learning and usage of python as a data scientist.

IK

Dec 13, 2022

Thank you Coursera & IBM for offering such a wonderful career-oriented course. Thank you very much Dr SAEED AGHABOZORGI and Dr Joseph Santarcangelo for providing the amazing learning Journey.

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2226 - 2250 of 3,255 Reviews for Machine Learning with Python

By IV C 5

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Mar 31, 2025

Best

By Binay P

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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 15, 2025

good

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Feb 8, 2025

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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 25, 2024

good

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Aug 25, 2024

good

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Aug 21, 2024

good

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Aug 17, 2024

good

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Aug 9, 2024

Good

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Jul 24, 2024

good

By MUHAMMAD D

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Jun 3, 2024

good

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May 8, 2024

nice

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Mar 6, 2024

Good

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Jan 17, 2024

Good

By vikash k

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Jan 17, 2024

Nice

By RAWAN T F A

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Nov 11, 2023

cool

By RAMJI R (

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Oct 17, 2023

good

By Appasami G

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Oct 17, 2023

Good

By Mahir M

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Sep 19, 2023

nice

By Hamza A

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Sep 1, 2023

well