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Back to Exploratory Data Analysis for Machine Learning

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

4.6
stars
2,445 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聽 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 聽 Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience聽 with Machine Learning and Artificial Intelligence in a business setting. 聽 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

BD

Apr 24, 2024

The course includes hands-on exercises that allows us to apply the learned EDA techniques to real-world data. This practical approach helps solidify my understanding.

AP

Feb 26, 2023

This course was amazing. I always assumed that EDA was the challenging part of ML, But in this course I found it so cool. can't wait for the next course.

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326 - 350 of 494 Reviews for Exploratory Data Analysis for Machine Learning

By Tamajit N

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Nov 8, 2024

Great

By 21_085 R E S

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Jun 2, 2024

Great

By Mohsen M

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Feb 3, 2024

10/10

By DAVID R

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Feb 28, 2022

goods

By William G G B

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Jan 18, 2022

Good

By Ali A A

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Oct 27, 2020

great

By MUHAMMAD H S

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Oct 27, 2025

good

By Aditi S

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Aug 18, 2025

good

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Aug 16, 2025

good

By Tr岷 M K

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Jul 14, 2025

good

By Sanchi C

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Jun 21, 2025

good

By Neema R

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Jun 9, 2025

good

By Ishan d

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Jun 7, 2025

good

By priyankar n

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Mar 21, 2025

Nice

By Khunakhan A

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Feb 7, 2025

imba

By Anurag T

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Feb 5, 2025

good

By Krishna K K

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Dec 21, 2024

good

By 袛懈邪褋 袗

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Dec 10, 2024

good

By SOMYA P

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Nov 25, 2024

good

By Gandham H

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Nov 13, 2024

good

By Ayuska S

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Oct 31, 2024

good

By Rudra P J

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Oct 9, 2024

Nice

By Sahil

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Sep 15, 2024

good

By shashank s

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Sep 7, 2024

good

By GUDITI J B

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Feb 29, 2024

Nice