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Back to Machine Learning with Python

Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,396 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鈥檒l 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鈥檒l also explore unsupervised learning, including clustering methods and dimensionality reduction with PCA, t-SNE, and UMAP. Through real-world labs, you鈥檒l 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

RC

Feb 7, 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.

FO

Oct 9, 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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2601 - 2625 of 3,052 Reviews for Machine Learning with Python

By Nicolas P

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Jun 19, 2019

Last assignment was just copy and paste

By Bill G

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Nov 19, 2019

Nice course, lots of good information.

By Rajnikant B W

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Mar 23, 2022

Excellent and Very Informative Course

By gasner b

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Aug 1, 2021

Good intro course to machine learning

By Benhur O J

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Sep 29, 2019

Great practical examples using Python

By Muhammad B K

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Jul 22, 2023

Informative and Pratical experience.

By Ahmed M M

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Jan 10, 2023

it's so good but with some difficult

By Kashyap A

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Jul 16, 2020

it is good but very conceptual based

By Shivam R

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Jun 27, 2020

It's really a good start towards ML.

By Arpit G

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Feb 5, 2020

Practical solving should be increase

By act j l l t

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Sep 27, 2022

Actualizar imagenes en documentos.

By VISHAL L E

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Apr 24, 2021

Great for theoretical understanding

By Joseph Y

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Feb 16, 2021

Very easy to understand and follow,

By Xuan H N

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Dec 29, 2019

IBM Watson Studio is a minus point.

By ADITYA A

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Feb 27, 2022

Great Course for someone new to ML

By Fazni f

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Aug 18, 2021

Good Course to learn ML Algorithms

By Ali S

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Jun 29, 2020

teaching codes was not really good

By 小褌械锌邪 袗 袘

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Oct 1, 2019

Very many ML models for one course

By Afra J

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Mar 2, 2025

need some practical video classes

By James T

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Dec 7, 2021

Great instructors and lesson plan

By Tianwei Z

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Jul 2, 2021

Peer Review System is ridiculous.

By Anand I

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Jan 18, 2021

The course is pretty good enough.

By Piyush C

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Jul 3, 2019

Concepts are not covered in depth

By Eliel S

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Aug 31, 2021

Good content and hands on labs.

By Swati P

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Jun 28, 2021

Very Nice program for beginners.