Learner Reviews & Feedback for Machine Learning with Python by IBM

4.7

stars

16,564 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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By NAGALLI Y V T C

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Aug 10, 2022

Good

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Jul 19, 2022

good

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Jun 30, 2022

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May 22, 2022

Nice

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May 15, 2022

nice

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Apr 26, 2022

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Apr 2, 2022

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Mar 31, 2022

nice

By Krishna D A D

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Jan 30, 2022

best

By Kalpesh D

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Jan 11, 2022

Good

By ADI V

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Jan 11, 2022

GOOD

By NAGALADINNE G B B

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Dec 23, 2021

good

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Dec 20, 2021

good

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Nov 3, 2021

GOOD

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Oct 11, 2021

good

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Sep 18, 2021

good

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Sep 1, 2021

nice

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Aug 31, 2021

good

By EDARA P P V T C

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Aug 22, 2021

best

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Aug 11, 2021

good

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May 28, 2021

good

By Shubhkaran

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Apr 21, 2021

good