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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
18,097 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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801 - 825 of 3,232 Reviews for Machine Learning with Python

By Diego G

Mar 27, 2025

¡Excelente curso! Claridad en la exposición y ejemplos abundantes. Dinámico y conciso.

By Zulqrnain A

Feb 21, 2023

A good course to have a review of the machine learning algorithms and python libraries

By Joyanto R C

Oct 30, 2021

Excellent Course and especially I am fond of the experts from IBM teaching the course.

By Siwei L

Apr 24, 2020

Good introduction to machine learning. A time cosuming but practical final assignment.

By Ruchika M

Mar 30, 2020

Very good explanation of the concepts. Lab work is also comprehensive and very useful.

By CHIN W L

Dec 12, 2019

Excellent machine learning introduction and python library for basic machine learning!

By Keshav U

May 26, 2022

Excellent course and very nicly explaining my mentro,very useful and very good course

By Dustin E

Sep 3, 2021

Tons and tons of information is covered. And lots of labs to do in this course! Nice!

By RAVI J

Aug 17, 2020

This course teste me the machine learning it mikes to learn more in machine learning

By GOKHAN E

May 13, 2020

Great course! Really to the point, informative, technical enough, with good examples.

By Prakash G

May 3, 2020

Good explanation about classification algorithms. Looking forward to have challenges.

By Maurício C B

May 2, 2020

Objetivo, direto, simples e útil. Explica com exatidão cada elemento a ser aprendido.

By 17_028 S I

Apr 6, 2020

The assignment was very much efficient and the lecture was very much understandable.

By Anthony S

Mar 2, 2020

This content of this course was very hard going but very useful. Thank you very much.

By BIBHUTI B B

Jan 28, 2023

This course worth every penny who wants to clear his basics in data science journey.

By Ben M

Jul 30, 2020

Great overall exposure to some machine learning techniques and how to evaluate them!

By Marco M W

Jul 16, 2020

Excellent course. A little hard on the math but at the end of the day... this is it!

By 李亦婷

Jun 24, 2020

I love this course. It help student develop basic understanding about ML and Python.

By Pratik K

May 26, 2020

It give me a headstart to dive into machine learning with sufficient basic knowledge

By Agnieszka K

Apr 5, 2020

Great course to learn methods behind machine learning and relevant coding in python.

By Lingjun K

Jun 3, 2019

I have appreciated the course instruction and the challenge in the final assignment!

By raman r

Feb 26, 2019

It was easy to learn machine learning concepts using jupyter notebooks in IBM cloud.

By Francisco M

Sep 29, 2025

Excellent material, advanced content and immersed Machine Learning and AI concepts.

By Harold C

Sep 15, 2022

Very detailed course with lots of hands-on exercises. I learned and enjoyed a lot.