Chevron Left
Back to Machine Learning with Python

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.

Filter by:

2976 - 3000 of 3,169 Reviews for Machine Learning with Python

By Dani S P

Mar 7, 2025

Some materials contain errors, and the libraries are bit outdated.

By UWIMANA L

Jun 17, 2024

I liked the course, but at times, I felt like I had less practice.

By Madhurima M

May 20, 2020

Lab works are not well explained. Otherwise, it's a great course.

By Chen Y

Mar 27, 2019

The lectures that are longer than 5 minutes are hard to tolerate.

By Rangappa N

Feb 28, 2019

Programming works need to be added,Quiz need to graded for free

By Nijatullah M

May 8, 2021

instead of implementing the algorithm more explanation on math

By Abd-Elrhman M (

Jul 4, 2020

everything was out of scope it was just a brief of every thing

By intissar b

Nov 18, 2024

I completed all the module which I doesn't take a certificate

By Aravind P

Jun 12, 2020

Theory part was awesome. But not much of practical knowledge

By Stefan A

Jun 6, 2020

Lab is working bad so a lot of time is waisted with waiting.

By Muhammad A

Jan 22, 2025

Very limited knowledge regarding multiclass classification

By Ahmed A

Oct 21, 2024

you better spend more time on teaching how to write codes!

By Sean G

Jan 22, 2023

Many labs in Jupiter Lab portal did not work correctly.

By Shamik K

Jan 2, 2021

It will help to add more clarity on the final exercise.

By Ramsrinivas A

Jan 16, 2020

Theoretical portion was shallow compared to Lab portion

By Hunter I

Apr 20, 2020

Learned a little bit, want more real world application

By Oana L

Jan 28, 2021

Course is quite good but very basic not intermediate.

By SHAONI C

Dec 2, 2019

needs more clarification on classification algorithm

By lorenzo a

Feb 12, 2020

soooo many typoes and small mistakes in this course

By H A H

May 19, 2020

this is good course about basic machine learning..

By Haykel S

Dec 26, 2019

The Correction of assignment is not very correct.

By Nicolas B

Sep 12, 2024

No summary, glossary, or seeing our quiz answers

By Bao P

Aug 23, 2023

Just the basis. I want more focus on the coding

By NIGAR S

Jul 9, 2025

I think it is useful and important for my work

By YuxinFeng

Dec 24, 2020

final assignment表述不够明确,整个课程内容都非常形式化,lab都是直接调包