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

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.

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.

Filter by:

2776 - 2800 of 2,881 Reviews for Machine Learning with Python

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 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 25, 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 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 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!!!

By Debra C

Mar 24, 2019

Found this course to be confusing. With that said, it was not a waste of time since there are some labs that are beneficial in understanding the concept.

By eduardo m r

Apr 7, 2020

The final assignment was completely bizarre, I think there are missing some instructions to guide the student, and the avaliation was completely 0/1.

By aa

Nov 13, 2019

Have to sign up IBM account in order to complete the last (most important) project, which is like doing advertising on purpose.

By Jesse Z

Jul 15, 2019

Introduced a lot of code in the assignments while providing no explanation of what it does. Lazy course writing.

By Gary S

May 3, 2019

Course has glitch in final assignment. People are completing but it is not completing the course for them.

By Bernardo N B C F

Jul 15, 2019

A lot of spelling errors during the course. The sample presented on the final project is very basic.