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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,941 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 15, 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 9, 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 3,187 Reviews for Machine Learning with Python

By Katja M

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Apr 22, 2021

It was a hard class - the concepts made sense but it is hard to figure out how to use them without more programming examples.

By Vedang D

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Jun 10, 2024

Great Course to get an understanding of Machine Learning in Python with no background knowledge needed. Cheers to Learning!

By Baptiste M

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Nov 18, 2019

Very complete course yet full of typos even in the datasets. Lots of information were redundant but an overall great value.

By Eric H

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Dec 20, 2018

After taking Andrew Ng's ML course, I still learned some new things here, but this course is rather shallow in comparison.

By Mitchell K

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May 25, 2021

This course was a great refresher from my data mining course in college, but I think some topics need to be expanded upon

By raviteja g

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Nov 22, 2019

A pretty good course to get familiar with supervised learning. Topics on unsupervised learning were moderately explained.

By Stephane A

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Apr 30, 2020

I learned a lot and I understood the different clustering algorithms to organize the data like DBSCAN, K-Means and more.

By 9058_Nishtha S

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Oct 12, 2024

Good for quick overview of some of the basics of introductory Machine Learning. More focused on theory and definitions.

By Ravindra D

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Nov 19, 2019

This course gives an introduction to machine learning by giving brief about algorightms such as KNN, Random forest etc.

By Zachary J

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Jan 19, 2025

I'm not a fan of their notebooks. I prefer the DataCamp model. However, the videos were easy to understand and follow.

By ­김준현

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Jan 16, 2022

it is all good but I cannot seem to create IBM Cloud account for some reasons... you guys have got to fix this problem

By Dusan R

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Jun 9, 2022

Week 6 was a bit chaotically organized. Overall, I really liked this course and would recommend it to other learners.

By Ankit A

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Mar 15, 2019

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

By Hrishikesh K

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Dec 22, 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

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Oct 30, 2021

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

By Vasiliki T

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Dec 12, 2020

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

By Daksh J

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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

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Aug 2, 2024

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

By Dhanaraj N

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Jul 12, 2022

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

By Chandrakanth R

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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

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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

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Mar 27, 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

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Apr 14, 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

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Sep 23, 2022

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

By Suhan R

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Jan 12, 2020

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