Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,885 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

Sep 5, 2021

This course just gave me substantial and valuable knowledge on ml algorithms and how to apply it using python. As a result, it was a benefiting journey for me. Thanks a lot for such a course.

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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By Mohammad R

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Jul 19, 2022

good

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Jun 30, 2022

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Jun 29, 2022

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Jun 25, 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

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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

By ADI V

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Jan 11, 2022

GOOD

By NAGALADINNE G B B

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Dec 23, 2021

good

By Veera R

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Dec 20, 2021

good

By GOGI R S V V T C

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Nov 3, 2021

GOOD

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Oct 11, 2021

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Sep 18, 2021

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Sep 1, 2021

nice

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Aug 31, 2021

good

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Aug 22, 2021

best

By Gayathrry S

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Aug 11, 2021

good

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May 28, 2021

good

By Shubhkaran

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Apr 21, 2021

good

By ARYAN T

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Apr 3, 2021

Good