Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

17,889 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

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!

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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2626 - 2650 of 3,175 Reviews for Machine Learning with Python

By Soumyaraj C

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Jun 1, 2024

Teacher was great with fairly comprehensible explanations

By yogita

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Mar 5, 2022

the ml labs should be video based rather than documented.

By srijani c

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Oct 2, 2021

challenging course good introduction to machine learning.

By 成美伊藤

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May 1, 2020

This course is one of the most worthiest contents for me.

By 劉啟迪

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Mar 13, 2019

Great online course for Machine Learning! very practical!

By Antonio B O

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Jan 21, 2025

great and fast overview. The labs are also pretty useful

By Arriouach M

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Apr 19, 2024

Good experience, I have learned, more skills about ML.

By MOHIT Y

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Oct 18, 2021

If You are a beginner then don't start with this course.

By Jan J Y

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May 18, 2021

Some issues with importing libraries using the notebooks

By Brendan W

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Apr 8, 2020

Excellent course, lots of typos in the lab instructions.

By AVIJIT S G

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Sep 1, 2024

Great But Not the Best. But still better than the rest.

By Kshitij G

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Nov 16, 2021

Good Intro of ML algorithms for beginners/intermediates

By Thomas

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Jun 26, 2020

This is a good course I wished it was more challenging.

By Abdul M A

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May 14, 2019

very good lecture but not detailing notes to back it up

By Agrim R

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Jun 27, 2022

please provide vedios for python code explanation also

By VISHAL P

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Jul 27, 2020

this course was amazing for statistical field student

By Jayant D

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Jul 29, 2019

Explanation is good but code practice could be better.

By micheal k

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Feb 14, 2023

great course

although short, many things are discussed

By Javier G R

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Apr 10, 2023

I would like some bibliography for deeper knowledge.

By Rafael M S

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Feb 14, 2023

Very good courser but some videos are too much long.

By NANDINI J 2

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Jan 21, 2023

The course is well-arranged. Perfect for beginners.

By Penumarthi S R

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May 24, 2020

I would highly recommend people to take this course.

By Mohammad P

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Feb 1, 2023

Great content and hands on lab to grasp the concept

By Vithushan V

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Jun 19, 2022

Very Good Course. I really enjoy my final project.

By Pokkunuri S C

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Nov 28, 2019

All the videos and practice exercises are wonderful