Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

16,409 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

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.

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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2776 - 2800 of 2,858 Reviews for Machine Learning with Python

By aa

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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

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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

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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

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Jul 15, 2019

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

By Carlos A

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Jun 23, 2020

The course lacked material on several subjects, and the assignment need more explanation.

By Djaber B

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Aug 24, 2019

"Time series" prediction is missing, I was passionate to learn about that.

By BOGATHI H K R

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Apr 18, 2023

I AM NOT SUITABLE FOR THIS COURSE. I LOOKING FOR CODING KNOWLEDGE.

By Nicholas J F

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Nov 18, 2019

Just teaches you to go through the motions. No real understanding.

By ahmed f

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Feb 2, 2019

not very detailed course and proper knowledge is not imparted

By Musa P (

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May 14, 2019

It way to Basic. Industry demands of more depth knowledge

By Varun K

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Mar 18, 2024

explanation is clear but need to upgrade to solve papers

By YUZURU T

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May 5, 2021

Too many technical problems. I was always flustrated...

By Jiapeng C

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Oct 3, 2022

I wish they can provide slides for users to download.

By Muhammad M A A

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Aug 30, 2023

Training of Python with examples should be added.

By Gulzaman K

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Jul 22, 2023

Robotic voiceover makes learning uninteresting.

By Michael M

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Jan 4, 2021

Course content good. Final project is a sham

By Kevin K

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Jun 14, 2023

The optional projects dont work!

Big Bummer

By Mustapha Z

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Jun 22, 2020

Final exam instructions are not clear

By Seth C

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Jun 9, 2024

IBM's courses are always a let down.

By Sara N G O

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Aug 20, 2024

No me quiere llegar la insignia

By Girijesh J

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Jun 21, 2019

very introductory level course.

By SANDEEP K M

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Jun 2, 2022

unable to get my cirttficate

By Rick A

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Dec 30, 2020

Not all it's made out to be.

By AJ S

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Aug 15, 2024

No cert or badge received.

By Vineeth R

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May 14, 2020

NO DETAILED EXPLANATION