Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,341 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

Oct 8, 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.

Feb 6, 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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1901 - 1925 of 3,044 Reviews for Machine Learning with Python

By Adil S

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Feb 2, 2019

nice course

By Mahesh A

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Jan 8, 2019

Good Course

By Vasileios M

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Dec 5, 2018

Thank you!!

By Mrinal G

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Nov 24, 2018

good theory

By Rattapon C

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Nov 13, 2018

Good course

By Zuber S

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Mar 31, 2025

best intro

By Diana J N N

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Jan 31, 2025

Excelente!

By Dr. D K A & H I T

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Nov 21, 2024

Excellent!

By Richar P

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Apr 28, 2024

Excellente

By Sheila V d S

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Aug 13, 2023

Excellent!

By darshan r

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Jun 20, 2023

nice overv

By Abhisek M

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May 31, 2023

Thank you!

By abdelkader o

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Mar 2, 2023

good cours

By Takahide M

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Jan 5, 2023

very good.

By JAVIER O

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Nov 3, 2022

Excellent!

By Qixu M

•

Oct 28, 2022

excellent

By Laio S

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Jul 31, 2022

Phenomenal

By BAHARUDDIN N M

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Feb 23, 2022

Thanks IBM

By Mateus A P

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Apr 21, 2021

Excellent!

By Julian D B R

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Jul 16, 2020

I love it!

By Sabir A

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Mar 29, 2020

Awesome :)

By Wen W

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Mar 21, 2020

very cool!

By VijayKumar M

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Feb 25, 2020

Very good!

By Ali A H

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Jan 9, 2020

Amazingggg

By Josemar T M

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Sep 2, 2019

Muito bom!