Chevron Left
Back to Machine Learning with Python

Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
17,341 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

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:

2926 - 2950 of 3,041 Reviews for Machine Learning with Python

By Yariv Z

Jun 25, 2020

Very superficial. It teaches at a very high level and doesn't go into details in many cases. There are a lot of open questions and I feel as if I just got a taste. It should be the first course in the certificate as an introduction and then there should be dedicated courses.

By Barry y

Jan 16, 2020

Some codes were added but no explanation even. They were fairly complicated and should be elaborated on.

Instructions were also unclear, sometimes we have no idea what the assignment wants. I find my self googling the concepts instead of trying to learn it in this course.

By Egor G

Nov 19, 2022

Very entry level course. I don't get the point of explaining the math behind the algorithms without forming any kind of geometrical intuition. The math part is also not really good. I also don't get the point, what exactly they wanted to achieve by creating this course.

By Vadim S

Apr 18, 2020

Good presentation videos is a plus.

However, the total lack of teachers/mentors support, crowd comments instead of properly designed final project is a much bigger minus.

Don't recommend to anyone who really wants to develop skills, not get a useless paper certificate.

By Nicola R

May 25, 2021

There is no support from Teaching Staff in this course, if you have a problem, you will not get any help from the forum. The grading rubric for the final assignment is really vague, which means the peer grades are arbitrary and not clear.

By Christos T

Mar 15, 2020

There are not enough exercises on the application of Machine Learning in Python. Also the server containing the exercises is always down. A lot of type-o mistakes.

The only good thing was the final exercise which was really interesting

By Jose G

Sep 16, 2022

Muy mala traducción a español a la vez que se va viendo el video. El primer laboratorio no explica como se genera la información. salen varios errores. No entiendo como suben el curso sin antes probar si funcniona o no.

By Helin Y

Feb 24, 2025

sertifikamı kursum bitmesine rağmen görüntüleyip indiremiyorum. Ulaşabileceğim herhangi çalışabilir bir mail adresleri bile yok. sertifika için bu platformu seçmiştim ama keşke başka bir platformdan yaralansaymışım.

By Shaurya B

Sep 3, 2020

It was a bad experience learning with this course and long codes were there and they were hard to understand . Also the instructor failed to understand the maths behind machine learning. I don't like the course.

By Aleksandr D

Oct 24, 2023

There are plenty of mistakes, some code provided in videos doesn't work, some code in labs is outdated and don't work, videos provide poor explanation. I wouldn't recommend to waste the time with this course.

By Leon C

Mar 25, 2022

Materials are very confusing. The instructions to Watson studio need to be updated to reflect the current interface and dashboards. Hard to do a lot og hunting and pecking to find the appropriate oprions.

By Mark O

Jan 18, 2020

The peer-graded assignment is a mess - especially if you try resubmitting work. There is no incentive or way for peers to grade assignments after they have done their two reviews. Please work on this IBM.

By Michael S

Jul 12, 2019

course was fine, but the review process was bad organized. following the instructions, the reviewer couldn't see the work of the student. also not ideal, that students score the work of other students...

By Jim C

Jul 15, 2019

This course is not as well put together as some of the other Python/Data science courses I've completed. In particular, the final assignment is not clear, as you can tell from viewing the week 6 forum.

By Aravindan N

Aug 13, 2019

Mathematical basis of the algorithms were explained with less emphasis on coding. The coding part along with the algorithms were also not explained in the lab sessions.Needs improvement.

By Steve H

Dec 14, 2020

needs some updating - the exercises and assignment notebooks are out of date and some quiz questions don't match with the video content. Also it looks like the forum is not maintained

By Chirag G

Aug 6, 2019

Too basic. Also, its easy to pass this course without much efforts. Should include more assignments that require writing bunch of code. Also, should have different project for people.

By Aaron S

Nov 15, 2020

The course content was wholly inadequate preparation for completing the final assignment. I had to read and watch several hours of other materials in order to complete this course.

By Edoardo C

Feb 3, 2025

All slides with a recorded robotic voice. Not clear explanation of the overview ML methods, seems liek every slide is not connected to the previous one. Overall not satisfied.

By Sarkis S

Feb 17, 2020

Очень поверхностный.

Если вы - кухарка, и хотите пойти в датасаенс - вам сюда.

Оценка курса не всегда очевидна, вас оценивают Индусы, которые сами в этом всем особо не понимают.

By Daniel K

Jan 23, 2020

Videos were way too long. They were only about theory and no code was featured. Labs were packed with code without proper explanation. That way of teaching is just not for me.

By George Y

Apr 17, 2025

kind of boring. the voice makes me daydream and not interactive enough. i want the videos to tell me how to code. not the labs. i don't want to read two pages of stuff.

By Patrick F

Jun 19, 2019

Very basic course (which is OK) with a particularly confusing final project. Wasn't hard because of the coursework, but was hard because of poorly documented process.

By Alex C

Aug 11, 2024

15 minute lecture of droning on about concepts that are "out of scope for the course" but then proceeds to just pretend like we don't need to learn or he said that.

By Michelle G

Aug 17, 2020

A lot of mistakes, typos, and misleading concept. I spent more time figuring out the wrong concept than actual learning. Course materials should be accurate!!!