Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,918 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

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!

Sep 24, 2020

Excellent course for beginners to data science field. Would have been better if the final project also included flavor of other ML methods such as Regression, Clustering or Recommender Systems.

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By Brayan A

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Oct 3, 2025

nice

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Sep 2, 2025

good

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Jul 15, 2025

good

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Apr 23, 2025

Nice

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Apr 13, 2025

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Feb 3, 2025

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Sep 14, 2024

good

By Abdoulaye W D

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Oct 7, 2023

GOOD

By Muqseet F

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Apr 17, 2023

good

By Girija S M

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Aug 24, 2022

nice

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Feb 20, 2022

good

By Anshuman R

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Jul 15, 2021

good

By Mullangi T

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Jun 21, 2021

GOOD

By SHALINI S

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Sep 6, 2020

Good

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Jul 19, 2020

Good

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Jun 12, 2020

good

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Apr 28, 2020

good

By VIGNESHKUMAR R

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Dec 26, 2019

Good

By Lakshmi N

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Dec 10, 2019

Good

By lokesh s

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Jul 17, 2019

good

By Hiep D X

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Oct 18, 2022

By syed s

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Aug 8, 2021

wow

By piyush s

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May 19, 2020

By Pagadala G s

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May 18, 2020