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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,862 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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2476 - 2500 of 3,169 Reviews for Machine Learning with Python

By Ankit A

Mar 15, 2019

Course study material is excellently organized and presented in crystal clear way, which makes it easy to understand.

By Hrishikesh K

Dec 21, 2023

The content of course is good but , Add more practice material so that learner can able to applied it to real world.

By Jeevanandam D

Oct 30, 2021

Good knowledgeble course. Can me modified with simple programming tasks for people with zero programming knowledge.

By Vasiliki T

Dec 12, 2020

A more demanding peer graded assignment would be an interesting thought for the future! :) thanking you in advance!

By Daksh J

May 19, 2020

Nice and easy to learn for basic of machine learning.

Concept are explain in nice way with the help of good example

By Daniel P

Aug 1, 2024

interesante el curso aunque no me llego el certificado con honores apesar de que envie el trabaja y fue calificado

By Dhanaraj N

Jul 12, 2022

It's excellent course for beginners with theory and practical hands on training, really enjoyed it while learning.

By Chandrakanth R

May 18, 2019

It was exciting and tough course. Lots of materials were covered in the module which at sometimes felt exhaustive.

By Santhosh R B

Apr 7, 2020

Would have been more interactive if the grading was done after each and every week through assignments.

Thank you

By Luis S M

Mar 26, 2025

I learned useful things, but some topics at the end were not explained more, even for the level we are handling.

By Thiago C

Apr 13, 2020

The course is good but I will need to start at a beginner level in order to consider reapplying to this course.

By Jorge T

Sep 23, 2022

An excellent opportunity to get your hands-on Pyhton and its ML libraries. More practical than theoretical.

By Suhan R

Jan 11, 2020

The course is too short or rather a bit on the lighter side. Expected a bit more heavy and rigorous content.

By Giorgio G

May 20, 2020

Great Course, Opportunities for improvement: go a little deeper on the algorithms strengths and weaknesses.

By Liaqat A

Aug 1, 2025

The course was informative, but it was also swift and sometimes challenging for a person new to the field.

By Lakshit .

Jul 25, 2021

The Content was brilliant but If you can add Reinforcement Learning to this course then it'll be more fun.

By Gabriel C

Feb 19, 2020

Very comprehensive in terms of topics covered, but could be improved with videos to walk through tutorials

By Christian F

Jun 3, 2020

Could have covered also Neural Networks and Random forest, but overall it was a very high-quality course.

By VARUN B

Feb 11, 2020

Need more clarifications about the code in the lab session and the explanation of concepts are Excellent.

By Hichem D

Jul 11, 2020

the course was awesome, easy to understand even for someone with no prior knowledge in machine learning

By William O

Jun 24, 2020

Thank you so much!

The content was appropriate for my interests. I learned a lot and it was so accurate.

By Krishna M

Apr 22, 2019

The course is aptly structured for intermediate learners - just the right level of complexity and ease.

By Abhijit S

Jan 17, 2022

It's always better to study materials made by IBM. Understandable concepts & great project experience.

By Aditya S

Jun 29, 2020

More peer graded assignments should be there , so that learners get more practice for building models.

By Brannon C

Jun 21, 2020

Great overview for many of the key Machine Learning algorithm types using in Python for Data Science.