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Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7
stars
16,540 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

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.

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2801 - 2825 of 2,877 Reviews for Machine Learning with Python

By Nicholas J F

•

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

•

Jun 14, 2023

The optional projects dont work!

Big Bummer

By Mustapha Z

•

Jun 22, 2020

Final exam instructions are not clear

By Seth C

•

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

By Em

•

Nov 8, 2019

Very vague course.

By Jan P

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Jan 20, 2020

Too superficial

By Vattic W

•

Apr 30, 2021

normal

By Naga s T

•

Mar 16, 2023

good

By ERIN A

•

Jan 11, 2021

Very frustrating - students are required to use IBM proprietary products which are inconsistent in their results and even running - the exact same code will run in one notebook but not another. The instructions for the final test are incredibly unclear in what is expected. Their sample code they give to grade the final test DOES NOT run. IF you can finally get it to run it doesn't produce the same results as they require to pass the test. The peer grading is awful - I got both a 0 and a 100 which netted a 50 (fail) twice. The zero was even though I had all requirements met (which even if the results were wrong should have yielded partial credit) and the student gave no feedback yet there is no way to ask for a new grader. I've done several courses via this certificate. 1 - the IBM Watson studio requirement needs to go. It's awful in every way and has turned me off to using Python. How can I use a product in my job that every time I run the same code it gives me different results or just won't run? 2 - the peer grading needs a way to have a request to have it re-reviewed by someone else (I resubmitted with a full summary of my results at the bottom and the same person gave me a zero again). I only stuck through and finished the course because it is required to get the certificate.

By Yohaunin Z

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Jan 10, 2022

For me this has been very disappointing, I really wanted to give this course and all the other courses in the IBM Data Science catalog a chance.

However I have not been able to get the answers I need to continue to learn from this course, the only way to get any real answers to questions that one might have is to make a post on the course forum and responses can take a very long time sometimes 3 days or more and considering the thousands of posted questions on the forum many can often go unanswered!

The only other way to really find answers is to do an online search, which I have found gives very generic answers to very specific issues, neither alternative has been helpful!

To give credit to the course, it may not be an issue with the course itself but rather the platform.

Either way I am still left disappointed and stuck and don't think I can continue to learn so long as my problems go unresolved!

By Evelyn B

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Jan 11, 2021

I am really disappointed, the course is basically a really introductory course aimed for someone who doesn't know any math or programming. Not a single comment on the maths, or the algorithms of Machine Learning, only a really superficial description of the existing algorithms (a description of what are they for, nothing about how they really work).

And Python is just an anecdotic theme, only examples of notebooks on how to do a specific thing (most of the times without explaining much) and the final project is simply copy and paste the notebooks together.