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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,422 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

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.

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 3,062 Reviews for Machine Learning with Python

By Retnani L

Mar 29, 2020

it's easy to follow for those who want to learn machine learning in beginner level

By Brett R

Oct 23, 2019

Great course. Course content was excellent, especially regarding model evaluation.

By Arisara C

Sep 7, 2018

Machine Learning is to make the computer system learn by itself using information.

By Roshan N

Nov 22, 2024

the course is good for understanding the concept of machine learning from scratch

By BRUNO P G

May 2, 2024

CURSO MUITO BOM E COMPLETO. APÓS O ESTUDO, NÃO HÁ NENHUMA DÚVIDA SOBRE O ASSUNTO.

By Diego N

Oct 3, 2022

Great for fundations. I recommend +hours of practice on each week's assignments.

By Muhammad o

Jul 23, 2022

A very useful and helpful course, I have learned a lot, thank you to the IBM team

By João R

Sep 18, 2020

Great introduction to Machine Learning with real-world problems. Really liked it.

By Edouard T

Sep 14, 2020

amazing course. I just wish it's updates to a pyhton/jupyter coding environement.

By RaviTeja P

Aug 3, 2020

Nice Course explained in a short and simple ways all machine learning algorithms.

By Manula V

Apr 30, 2020

Excellent course with important concepts of the algorithms explained very simply.

By Abhishek y

Apr 29, 2020

Some classifiers missing like Random Forest but as a beginner course it is fine.

By Manar M N H

Jan 12, 2020

Extraordinary , Resourceful , Professional , Thank you for this exciting course .

By Preet K

Dec 29, 2019

I learned a lot of new things that can be applied to the real world.

Thanks a lot.

By Goodwish S M

Dec 25, 2019

Learning python data analysis with scikit learn is very intuitive and interesting

By SADANAND R

Oct 25, 2024

Was quite extensive and helpful to study and learn ML and Deep Learning concepts

By Nithin P N

Jan 5, 2024

This course was well structured, explaining the use cases of many ML algorithms.

By Avanish K

Nov 20, 2023

I understood everything taught in this course everything is explained very well.

By Mohit G (

Oct 4, 2022

significantly good course providing basic level knowledge for machine learning.

By Anand A

Oct 26, 2021

Excellent starter course to familiarise oneself with machine learning procedures

By george s

Aug 25, 2021

Perfect course to understand fundamentals of Machine Learning, 100% recommended!

By John M G

Nov 10, 2020

Thank you so much, Coursera for this opportunity! I've learned a lot. Thank you!

By Yhary E A T

May 27, 2020

Muy completo el curso de ML con Python, estoy feliz de haber culminado. Gracias.

By 张弛

Dec 22, 2018

Excellent course for starters. Could be better with more programming assignments

By yuttapong m

Dec 18, 2024

clear and concise explanation. good for starting point to be familliar with ML