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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,408 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鈥檒l 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鈥檒l also explore unsupervised learning, including clustering methods and dimensionality reduction with PCA, t-SNE, and UMAP. Through real-world labs, you鈥檒l 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

FO

Oct 9, 2020

I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.

RC

Feb 7, 2019

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.

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2001 - 2025 of 3,057 Reviews for Machine Learning with Python

By ROHIT K

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Oct 3, 2018

very good

By Deleted A

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Nov 8, 2024

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Aug 27, 2024

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Aug 23, 2024

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By Nauman A Q

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Jul 27, 2023

the best

By Yair T

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Mar 6, 2023

Excelent

By Claudio D A P

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Feb 10, 2023

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Oct 14, 2022

AWESOME

By Hasan A

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Sep 3, 2021

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Apr 2, 2021

Excelent

By BHUVANENDRAN B

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Jul 6, 2020

Awesome!

By Ovi S

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May 8, 2020

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By Anil K

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Apr 14, 2020

Great!!!

By Muhilraaj A R

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Mar 20, 2020

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Mar 3, 2020

Good job

By Sankhadip M

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Nov 7, 2019

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Oct 3, 2019

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Mar 23, 2025

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Nov 11, 2024

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Oct 19, 2024

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Jul 26, 2024

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Mar 20, 2024

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Feb 19, 2024

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Aug 18, 2023

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May 21, 2023

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