Chevron Left
Back to Machine Learning with Python

Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,552 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

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.

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.

Filter by:

501 - 525 of 2,880 Reviews for Machine Learning with Python

By Zein M

•

Aug 24, 2023

very helpful Thanks a lot I learned about different topics in machine learning and I learned how to implement it in Python

By Steven W

•

Jun 16, 2022

Covers some basic material that every AI engineer should have in their toolkit, regardless of their area of specialization.

By Dennis R

•

Sep 7, 2020

Although this course gets a little heavy in math, the reasoning to understand what is happening is justified. Great Course.

By Prashant K

•

Apr 21, 2020

The course was one of the best that I have learned. The instructor explained everything from small to big very beautifully.

By Pietro D

•

Jan 3, 2020

I find this course interesting and worth the time. There is a good balance between ML theory and implementations in Python.

By Rahul U

•

Sep 2, 2019

Very nicely paced course with abundant information about algorithms used in ML. Instructions were clear and easy to follow.

By RAJAT S

•

May 14, 2020

I am really very happy ,with this course i learnt basics of Machine learning .It help me to go ahead in Data Science field

By Astry E C

•

Oct 6, 2021

Theory of the course are great. The hands on lab really adding value to the theory explained. Totally worth for beginner

By ARPIT C

•

Feb 20, 2021

This course is really very helpful for machine learning beginner . It will help to understand the all basics of algorithm

By Amish P

•

May 17, 2019

This was one of the best course in Machine Learning for beginners. I would definitely recommend this course to my friend.

By Igor C

•

Jun 1, 2020

The best Coursera course I had passed so far!

Special thanks to Saeed Aghabozorgi for perfect materials and presentation!

By Md M T

•

Apr 12, 2020

To understand theoretical background along with practical demonstration python lovers can definitely choose this course.

By SIDDHARTH K

•

Mar 19, 2020

Wonderful Explanation of Machine learning using python. Also the practical and assignment was very easy to understand.

By Parth P

•

Mar 11, 2020

Ploynomial regression, ridge, etc are extremely well explained. LABS are too good to learn. I really enjoyed this a lot.

By Abdallah A A

•

Jun 28, 2019

It wasn't easy to implement ML algorithms from first time. but I am sure with more practicing it will be a piece of cake

By Nicole M

•

Sep 4, 2023

Perfect to get a first impression of ML and a solid foundation on which you can buold up on with the following courses!

By Hassaan A

•

Aug 14, 2023

I really enjoyed this course and I got to learn so much. I look forward to indulge myself even further in Data Science.

By Vu H N

•

Jul 10, 2023

Thoughtful, practical but the technical terms should be more specific in explaining. Huge thanks to the course authors.

By Prabhakaran E

•

Mar 29, 2020

Course content is good, but it is just to introduce the ML algorithms. More self study is required to attain expertise.

By Aditya C

•

Aug 15, 2023

It is the best course for beginners although the mathematical part is not more but the theoretical part was very good

By Stephen E

•

Apr 16, 2020

A great introduction to Machine learning and also a great refresher to some statistical concepts that I had forgotten.

By Abilio R D

•

Dec 18, 2019

Excellent course. Excellent final peer grade assignment. I have loved all the materials, labs and contents. Thank you!

By Dinesh S

•

Nov 27, 2019

well prepared course and also instructor is very good. but it could be helpful if the instructor explain the code also

By Johany A C C

•

Sep 13, 2019

This course is a useful tool to create the best model for predict new data that we don't have used previously. Thanks!

By Tiago P F

•

Jun 24, 2019

This course is really good. In it I could practice a lot of what I've learned at previous courses and learn much more.