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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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2451 - 2475 of 3,043 Reviews for Machine Learning with Python

By Ashutosh v

Dec 13, 2019

very awesome course for intermediate level......thanks coursera and instructors

By Pranav N

Jun 13, 2025

All the content and learning is goodd!!! easy to understand + real world usage

By NANCY N V R

Feb 19, 2024

Buen material. Solo tuve problemas en los labs porque no pude correr el codigo

By Swapnil K

Sep 2, 2020

All the topics are nicely covered with examples and it really helped me a lot.

By Ankit K S

Feb 12, 2020

Great explanation, nice ungraded tools.

But should have more graded assignments

By PAWAN P

Nov 12, 2023

very very good program, it helpful for the new journey.. thanks ##coursera !

By Lenin B K

Dec 16, 2022

it covers all the fundamentals of the machine learning, good for beginners..

By carlo t c

Apr 25, 2021

good material. But the grading system is not satisfactory. It's peer graded.

By Miguel D V G

Aug 3, 2020

This course gives the tools to know more about data processing and analysis.

By Vasu J

Jul 16, 2020

Wish you would explain the code as well but otherwise a great starter course

By Abhishek S

May 25, 2020

all in all a good beginner level course. the assignment was really enriching

By venkatesh v

Dec 28, 2019

one of the crisp course and should have included ensemble algorithms aswell.

By Suresh C

Oct 30, 2019

the course is best for those who want to enter in the field machine learning

By Rayane B

Apr 29, 2023

I really enjoyed this course. Very good introduction to machine learning :)

By LAYEEQ A

Dec 24, 2021

Videos seems very fast, it is a little bit difficult to grasp first time.

By leo s g y

Nov 28, 2020

it's basic for the beginning and provide the real environment to practice.

By Jose M D C

May 22, 2024

Buen Curso, lo lleva al conocimiento del aprendizaje automaticocon python

By Desabandhu P

Jul 4, 2023

Recommender system is removed unfortunately..It should be included again.

By Vivek K G

Apr 28, 2020

Well, the theoritical teaching was good but average practical experience.

By Peve B

Feb 14, 2025

C'était vraiment une expérience enrichissante merci a toute l'équipe....

By Escape K

Nov 11, 2024

I am somewhat new to Python and the lab is a very great feature to have.

By Muhammad H B R

Aug 27, 2024

The videos are a little slow paced. Otherwise, the content is very good.

By Graham T

Mar 21, 2024

A beginner-frienldy course and a great way to get into Machine Learning.

By Reshikeshva U

Feb 25, 2024

amazing , 4 * only because I wished the final exam were really tough :-)

By Priyanshu C

May 1, 2020

Lab sessions are difficult with less explanations. Hope you work on it!!