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

4.6

stars

2,548 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

Nov 5, 2022

Good introduction to the workflow in EDA for ML. I appreciate the code examples that provide a useful reference to code syntax and some practice with EDA.

Dec 18, 2020

Good introduction. The time estimates to complete assignments are off.Need a lot more material and direction for assignments to aid learning.

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251 - 275 of 516 Reviews for Exploratory Data Analysis for Machine Learning

By Volodymyr

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Jul 6, 2021

Very good! Thanks.

By Ba N B N

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Feb 17, 2026

excellect journey

By ASTICK K

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Nov 18, 2024

ITS GOOD TO LERAN

By Alfonso S H S

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Jul 23, 2024

Excellent quality

By Sai M R P

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Oct 28, 2022

Very informative

By HAYTOUMI A

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Oct 18, 2021

Very Nice Course

By PENTAKOTA M S S

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Aug 25, 2025

good explaintion

By Caroline A

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Aug 28, 2024

excellent course

By Puja S

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Aug 27, 2022

Really nice one.

By Deepak K S

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Dec 16, 2021

Excellent course

By Soham B

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Nov 14, 2021

Very Informative

By arsalan a

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Oct 24, 2021

Excellent Course

By Giovanny A J T

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Feb 24, 2025

Excelente curso

By DEBANJAN B

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Jan 27, 2021

Awesome contend

By Akhmetova D Z

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Feb 7, 2025

That was cool!

By Kamalchand B

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Oct 30, 2024

HELPFUL COURSE

By Sagar G

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Sep 21, 2024

great learning

By Alisahib G

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Sep 30, 2023

BEST ML course

By Sunny B

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May 23, 2023

Just Awesome..

By Mukaila A

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Sep 25, 2022

Great course!

By Juan C J V

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Jul 6, 2022

Muy buen curso

By Harshitha B

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Aug 5, 2025

good platform

By Upwork J

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Oct 7, 2022

Nice Teacher

By ĐOÀN T C A

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Aug 15, 2025

great course

By ismail g

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Jan 26, 2025

Great course