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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,862 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

RV

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.

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.

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2551 - 2575 of 3,169 Reviews for Machine Learning with Python

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!!

By Fulvio C

Nov 26, 2019

The lab are very important in this module, the video should be updated..

By David Z

May 7, 2020

Could be more beginner friendly, and explain further, but great course!

By Apurv A S

Mar 30, 2020

Lectures are good but there are not much hands on Practice Assignments.