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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

FO

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.

RC

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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526 - 550 of 3,042 Reviews for Machine Learning with Python

By Angeliki C

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Mar 26, 2020

Great Videos, fantastic lab sessions! It has been the best course so far! Congratulations and many thanks to the instructors

By Eva M

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Feb 19, 2020

Really enjoyed this course! It is one of the few that explains how Machine Learning algorithms actually work in simple terms

By Devaashish S

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Jan 3, 2020

Hard work, patience and perseverance is the only key to success. Never give up, keep typing harder one day it will be yours.

By Ahmad M B

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Dec 21, 2019

Very good course. Highlighted basic need to start Data Science career at the same time give direction for future development

By Vipranarayananccc R

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Feb 24, 2025

A very well designed course with the right level of depth. It was not overly simplistic and had the right level of intrigue

By Steven W

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Jun 16, 2022

Covers some basic material that every AI engineer should have in their toolkit, regardless of their area of specialization.

By Dennis R

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Sep 7, 2020

Although this course gets a little heavy in math, the reasoning to understand what is happening is justified. Great Course.

By Prashant K

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Apr 21, 2020

The course was one of the best that I have learned. The instructor explained everything from small to big very beautifully.

By Pietro D

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Jan 3, 2020

I find this course interesting and worth the time. There is a good balance between ML theory and implementations in Python.

By Rahul U

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Sep 2, 2019

Very nicely paced course with abundant information about algorithms used in ML. Instructions were clear and easy to follow.

By RAJAT S

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May 13, 2020

I am really very happy ,with this course i learnt basics of Machine learning .It help me to go ahead in Data Science field

By Astry E C

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Oct 6, 2021

Theory of the course are great. The hands on lab really adding value to the theory explained. Totally worth for beginner

By ARPIT C

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Feb 20, 2021

This course is really very helpful for machine learning beginner . It will help to understand the all basics of algorithm

By Amish P

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May 17, 2019

This was one of the best course in Machine Learning for beginners. I would definitely recommend this course to my friend.

By Igor C

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Jun 1, 2020

The best Coursera course I had passed so far!

Special thanks to Saeed Aghabozorgi for perfect materials and presentation!

By Md M T

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Apr 12, 2020

To understand theoretical background along with practical demonstration python lovers can definitely choose this course.

By SIDDHARTH K

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Mar 19, 2020

Wonderful Explanation of Machine learning using python. Also the practical and assignment was very easy to understand.

By Parth P

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Mar 11, 2020

Ploynomial regression, ridge, etc are extremely well explained. LABS are too good to learn. I really enjoyed this a lot.

By Abdallah A A

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Jun 28, 2019

It wasn't easy to implement ML algorithms from first time. but I am sure with more practicing it will be a piece of cake

By Nicole M

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Sep 4, 2023

Perfect to get a first impression of ML and a solid foundation on which you can buold up on with the following courses!

By Hassaan A

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Aug 14, 2023

I really enjoyed this course and I got to learn so much. I look forward to indulge myself even further in Data Science.

By Vu H N

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Jul 10, 2023

Thoughtful, practical but the technical terms should be more specific in explaining. Huge thanks to the course authors.

By Prabhakaran E

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Mar 29, 2020

Course content is good, but it is just to introduce the ML algorithms. More self study is required to attain expertise.

By Aditya C

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Aug 15, 2023

It is the best course for beginners although the mathematical part is not more but the theoretical part was very good