Chevron Left
Back to Machine Learning with Python

Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,550 ratings

About the Course

Get ready to dive into the world of Machine Learning (ML) by using Python! This course is for you whether you want to advance your Data Science career or get started in Machine Learning and Deep Learning. This course will begin with a gentle introduction to Machine Learning and what it is, with topics like supervised vs unsupervised learning, linear & non-linear regression, simple regression and more. You will then dive into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN. With all the many concepts you will learn, a big emphasis will be placed on hands-on learning. You will work with Python libraries like SciPy and scikit-learn and apply your knowledge through labs. In the final project you will demonstrate your skills by building, evaluating and comparing several Machine Learning models using different algorithms. By the end of this course, you will have job ready skills to add to your resume and a certificate in machine learning to prove your competency....

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.

Filter by:

1426 - 1450 of 2,878 Reviews for Machine Learning with Python

By GAURAV B

Nov 5, 2019

Nicely articulated use cases

By Daniel C

Oct 18, 2019

This is an excellent course.

By Deleted A

Oct 14, 2019

Last assignment is very hard

By Santiago

Aug 26, 2019

really nice course thank you

By Aaradhya J

Jun 7, 2024

The course was very helpful

By aditya k

Jul 27, 2023

Best course for a beginner.

By Kanti P

Jun 8, 2022

It is a great course for me

By Chris P

Feb 22, 2021

Overall pretty good course!

By MD A U

Oct 29, 2020

This is a very good course.

By Y. D R P

Jun 7, 2020

great material and exercise

By Krishno S

Jun 6, 2020

Excellent! nice Explanation

By Andrew K

Apr 27, 2020

Excellent. My favourite one

By sepide s

Apr 1, 2020

thanks and learn the bestly

By Santiago A C

Oct 23, 2019

excelent! i learned so much

By Aditi T

Sep 6, 2019

Great course for beginners!

By Arushi K

Aug 24, 2019

One of the awesome courses!

By Darshil P

Dec 17, 2018

Amazing content and project

By Claudio G

Dec 19, 2024

Excelent course. Thanks!!!

By Radwa k

Aug 31, 2024

Great course. very helpful

By Godwin b M

Nov 21, 2022

this is very usefull to me

By Usama S

Nov 19, 2022

Great introductory course.

By Jintao H

Nov 17, 2022

很好的课程,如果在增加课程的难度就好,搞一个高级证书

By Jalagadugula B S

Jun 16, 2022

It was a fabulaous course.

By Parijat G

Dec 12, 2021

Great course for Beginners

By Morteza A

Oct 28, 2021

very very good and helpful