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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,876 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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526 - 550 of 3,169 Reviews for Machine Learning with Python

By Raghunath T

Oct 3, 2022

This course pushed me out of my comfort zone and helped me realise as well as achieve my potential when it comes to porgramming.

By Deleted A

Feb 19, 2022

The professor was clear and concise in explaining concepts, very great course and Im glad a took it. Well done IBM and Coursera!

By Sampriti p

Sep 4, 2021

I really like this course. I have learned a lot from this course. It's really helping me. Personally, I recommend this course!

By Shahab J

Feb 10, 2021

Great course which explains the fundamental of ML algorithms.

However, if would be more beneficial if you have python background.

By Samuel A O T

Jun 28, 2020

It was an awesome experience on this machine learning platform. The experience gained is very useful for real world applications

By Shivam M

Dec 21, 2019

Awesome course to hands on learning of machine learning algorithms such as k-nearest neighbor, recommender systems for a layman.

By DIPANKAR S

Nov 3, 2019

The course was very explanatory and the professor was teaching in a very unique way. Really thankful to course era and the prof.

By Ravi S

May 9, 2020

I like the fact that there is ample amount of practical exercises that implies you are not going to forget these things easily.

By Ramanujam K

Apr 29, 2020

An engaging course that covers the core concepts across various areas in ML and provides the right level of hands-on exercises.

By Siba P C

Jul 13, 2019

Good course for getting started with basics. Carry on your self-study after this course to get even better at machine learning.

By sergey k

Feb 19, 2019

Dear all.

It would be grate if you will add roc-curver and ordinal regression examples into this corse.

Sincerely, Sergey Kutenko

By Kumar D

Oct 25, 2024

Directed towards subject matter concerned and very much learner friendly. Thanks to the team members who developed this course

By CƠ T Q

Oct 2, 2023

I'm pretty happy with this course. It's helping me open up my knowledge and take a different look at data-related disciplines.

By Cosmas N

Jun 30, 2023

This is one of the best introductory courses anyone can take to launch your tech career. I got value from Coursera every time.

By Usha G

Jan 26, 2021

Videos and Labs are designed in a way that a candidate will learn very easily. Thank you the Coursera Teaching & backend Teams

By Israel S S

Sep 4, 2019

It was a complicated course, but I acquired very valuable practical knowledge about programming to implement Machine Learning.

By Bruno T A H

Aug 29, 2020

Excellent content and really impressive to learn the basics of machine learning, clustering and complex data science insights

By James D

May 27, 2020

This course is excellent.

I want to share the Quizzes of Week 2 and Week 4. Some questions should add "Select all that apply."

By AMAN C

Mar 2, 2019

Wonderful course with hands on the basics of the machine Learning algorithms and supervised learning is beautifully explained

By Shobhit G

Jul 24, 2025

a bit difficult for new learners have to give a bit of timer and be dedicated to complete otherwise can be challenging a lot

By Shalini G

Jul 21, 2023

The course was very helpful. I could not stop learning. I am looking forward to complete the whole program from IBM Coursera

By Prasanna K

Jun 30, 2021

Real-time project labs help a lot. Highly Preferable for those who are looking to learn ml topics using python in less time.

By Eldar J

Oct 15, 2020

It's very clear and really easy to understand the main point of ML. It would be really nice if you have already know Python.

By Rajat G

May 22, 2020

An exceptional course and just what i was looking for. Explained all the concepts in detail and the lab work was really good

By Aditya C

May 6, 2020

Learnt a great amount of details about Classification, Regression models and specific algorithms to solve modern challenges.