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

4.6

stars

2,039 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 10, 2024

With my background on probability and statistics, I think this is a good course, where it can help me apply what i have learned. Not recommend for any one who hasn't taken a statistics course before.

Sep 26, 2021

Very detailed course of Exploratory Data Analysis for Machine learning. Ready to take the next step in data science or Machine learning, this is great course for taking you to the next level.

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201 - 225 of 420 Reviews for Exploratory Data Analysis for Machine Learning

By Garrett T

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Jun 18, 2022

Great course for beginners

By Andrey G

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Jun 5, 2021

Great materials to learn.

By manish k g

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Feb 11, 2021

it was a nice experience .

By Pratik S

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Oct 4, 2024

its very practical course

By vasan p

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Jun 5, 2024

Great Learning Experience

By Thach T T ( H

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May 30, 2023

This course is so great !

By AMENALLAH B

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Mar 29, 2023

I really like this course

By sanket g

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Aug 8, 2022

Excellent Lab Work.

Thanks

By David G

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Aug 3, 2021

awesome course. Love it

By morteza a

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Jul 8, 2023

perfect perfect perfect

By Tayfun K

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Jul 12, 2022

Thank you. It was great

By Alejandro M

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Sep 13, 2024

Very good introduction

By Sharjeel J

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Feb 6, 2024

very Execelent course

By Rocio M L

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Dec 13, 2023

exactly what I needed

By Poornimaa K

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Dec 15, 2024

Interesting to learn

By Sabarigirisan� N

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Dec 14, 2024

Very Valuable Course

By NAVIN K G

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Oct 18, 2024

Good Cource for me .

By Arthur M

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Mar 6, 2024

Ótima a experiência

By RAJIB K

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May 29, 2023

it's a good course.

By ali p

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Jan 31, 2022

it's a great course

By VEERAMREDDY N K R

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Oct 27, 2021

Good course on EDA

By Volodymyr

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Jul 6, 2021

Very good! Thanks.

By ASTICK K

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Nov 18, 2024

ITS GOOD TO LERAN

By Alfonso S H S

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Jul 22, 2024

Excellent quality

By Sai M R P

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Oct 28, 2022

Very informative