Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

16,374 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

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.

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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2376 - 2400 of 2,850 Reviews for Machine Learning with Python

By Abdul M A

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May 14, 2019

very good lecture but not detailing notes to back it up

By Agrim R

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Jun 27, 2022

please provide vedios for python code explanation also

By VISHAL P

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Jul 27, 2020

this course was amazing for statistical field student

By Jayant D

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Jul 29, 2019

Explanation is good but code practice could be better.

By micheal k

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Feb 14, 2023

great course

although short, many things are discussed

By Javier G R

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Apr 10, 2023

I would like some bibliography for deeper knowledge.

By Rafael M S

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Feb 14, 2023

Very good courser but some videos are too much long.

By NANDINI J 2

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Jan 21, 2023

The course is well-arranged. Perfect for beginners.

By Penumarthi S R

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May 24, 2020

I would highly recommend people to take this course.

By Mohammad P

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Feb 1, 2023

Great content and hands on lab to grasp the concept

By Vithushan V

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Jun 19, 2022

Very Good Course. I really enjoy my final project.

By Pokkunuri S C

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Nov 28, 2019

All the videos and practice exercises are wonderful

By Hassan B

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Oct 22, 2019

I enjoyed this course. It contains a great content.

By Zach H

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Feb 25, 2024

Could use more extension materials/further reading

By هاني ا

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Feb 20, 2022

Some video need to be updted , else its v.good

By Rafi O

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Jun 21, 2020

Great course. Some errors need to be fixed though.

By Benjamin L

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Oct 30, 2019

The final assignment was not as good as I expected

By Veeram R S S

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Jun 21, 2020

it would be good if there were coding assignments

By Chiara P M

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May 18, 2019

good machine learning overview. Good first course

By Sai K K

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Jul 30, 2021

creates more interest while learning this course

By Aravindreddy S

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May 31, 2022

it is good and very knowledgable to the student

By Anand G

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Aug 21, 2020

This is a very good course for machine learner.

By Robson A

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May 22, 2020

This was a good introduction to ML with python.

By Suprith R G

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Jun 10, 2019

It should need more explanations on code cells.

By dhanushree g

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Jun 5, 2019

still we need better way of understanding labs.