Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,937 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

Jan 14, 2025

good course , some part is typical more statistical part shown, even i have good understanding of ML , so new learner will find little typical. rest tutor voice and language is understandable.

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 Tanzeel A

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Jan 26, 2023

nice

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Jan 24, 2023

good

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Dec 29, 2022

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Jun 13, 2022

good

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May 22, 2022

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May 15, 2022

nice

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Apr 26, 2022

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Apr 2, 2022

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Mar 31, 2022

nice

By Krishna D A D

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Jan 30, 2022

best

By Kalpesh D

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Jan 11, 2022

Good

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Jan 11, 2022

GOOD

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Dec 23, 2021

good

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Dec 20, 2021

good

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Nov 3, 2021

GOOD

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Oct 11, 2021

good

By Md Z

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Sep 18, 2021

good

By Neha B

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Sep 1, 2021

nice