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

Jan 14, 2025

good course , some part is typical more statistical part shown, even i have good understanding of ML , so new learner will find little typical. rest tutor voice and language is understandable.

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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2701 - 2725 of 3,185 Reviews for Machine Learning with Python

By Olli

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May 21, 2019

The workbooks should be more challenging

By apurva s

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Sep 3, 2021

nice conducted and it is really helpful

By Wen W

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Mar 24, 2020

I found the instructor is really cool!!

By Bhargav P

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Jul 25, 2019

Nicely structured to give basic clarity

By Nicolas P

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Jun 18, 2019

Last assignment was just copy and paste

By Bill G

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Nov 18, 2019

Nice course, lots of good information.

By Rajnikant B W

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Mar 23, 2022

Excellent and Very Informative Course

By gasner b

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Aug 1, 2021

Good intro course to machine learning

By Benhur O J

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Sep 29, 2019

Great practical examples using Python

By Muhammad B K

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Jul 22, 2023

Informative and Pratical experience.

By Ahmed M M

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Jan 9, 2023

it's so good but with some difficult

By Kashyap A

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Jul 16, 2020

it is good but very conceptual based

By Shivam R

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Jun 26, 2020

It's really a good start towards ML.

By Arpit G

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Feb 4, 2020

Practical solving should be increase

By act j l l t

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Sep 27, 2022

Actualizar imagenes en documentos.

By VISHAL L E

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Apr 24, 2021

Great for theoretical understanding

By Joseph Y

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Feb 15, 2021

Very easy to understand and follow,

By Xuan H N

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Dec 28, 2019

IBM Watson Studio is a minus point.

By ADITYA A

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Feb 26, 2022

Great Course for someone new to ML

By Fazni f

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Aug 18, 2021

Good Course to learn ML Algorithms

By Ali S

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Jun 29, 2020

teaching codes was not really good

By Степа А Б

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Sep 30, 2019

Very many ML models for one course

By Priyanshu V

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Jul 12, 2025

enhances innovative understanding

By Afra J

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Mar 1, 2025

need some practical video classes

By Information A

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Dec 6, 2021

Great instructors and lesson plan