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

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.

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 Lallapati H R

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Dec 29, 2022

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Sep 8, 2022

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Sep 5, 2022

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Jun 13, 2022

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May 22, 2022

Nice

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May 15, 2022

nice

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Apr 26, 2022

Good

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Apr 2, 2022

good

By PRIYANSHU M

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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

By kamlesh C

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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

By 020_Divya P

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Aug 31, 2021

good

By EDARA P P V T C

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Aug 22, 2021

best