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Learner Reviews & Feedback for Exploratory Data Analysis for Machine Learning by IBM

4.6

stars

1,780 ratings

About the Course

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. By the end of this course you should be able to: Retrieve data from multiple data sources: SQL, NoSQL databases, APIs, Cloud Describe and use common feature selection and feature engineering techniques Handle categorical and ordinal features, as well as missing values Use a variety of techniques for detecting and dealing with outliers Articulate why feature scaling is important and use a variety of scaling techniques Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Calculus, Linear Algebra, Probability, and Statistics....

Top reviews

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Very nice course which explains beautifully about data cleaning and the statistical approach and then statistic model and then it ends with the hypothesis testing.

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Excellent, very detailed. However, if the lessons can be expand for hypothesis testing and some of their common test like T test, Anova 1 and 2 way, chi square,..it would be better further.

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226 - 250 of 371 Reviews for Exploratory Data Analysis for Machine Learning

By Maldev S C

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Dec 12, 2023

First Class

By Suffiyan A

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Feb 28, 2023

Great work!

By Lutvi A

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Mar 3, 2022

very nice!

By Soha S

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Jan 1, 2022

Thanks IBM

By Maxwell N

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Sep 15, 2020

Nice course

By Cristian S V

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Mar 3, 2023

Very good!

By Paola L S

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Dec 2, 2022

Excelente.

By Chanthalee X

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May 12, 2022

very nice!

By Cui Y

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Jan 13, 2022

Thank you!

By Sohan S V

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Nov 3, 2020

osm course

By SUBROTO M

•

Sep 20, 2024

Excellent

By Ignacio R J

•

Aug 1, 2024

Excelente

By Victor M C

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Jun 4, 2024

very good

By Ghizlane A

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Sep 13, 2023

thank you

By VICKY K

•

Apr 29, 2023

AWESOME!!

By PRAVAT P

•

Apr 7, 2023

Wonderful

By Sri A K

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Mar 8, 2023

Loved it

By Molini U

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Jan 18, 2023

excellent

By Rohit Y

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Jul 11, 2022

Excellent

By ABHIJIT B

•

Jan 24, 2021

Very good

By Vitor R

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Nov 24, 2020

Awesome!!

By OMKAR N C

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Feb 22, 2024

All Good

By Rohit K

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Jan 14, 2021

good one

By rakesh g

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Jul 25, 2024

thanks

By lucas a

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Aug 15, 2023

gooood