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学生对 IBM 提供的 Exploratory Data Analysis for Machine Learning 的评价和反馈

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2,541 个评分

课程概述

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....

热门审阅

AK

Jul 17, 2025

More example in simplified way could help new learner to understand. Overall I really like this course. This help us to crack some of good area where I need to re-work .

BD

Apr 23, 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.

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326 - Exploratory Data Analysis for Machine Learning 的 350 个评论（共 515 个）

创建者 MD T I

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Jul 18, 2025

awesome

创建者 Sourav K

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Nov 7, 2024

awesome

创建者 PRINCE K

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Oct 27, 2024

awesome

创建者 ADITYA N

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Dec 5, 2025

kerenn

创建者 Saurabh M

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May 3, 2025

Better

创建者 rakesh g

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Jul 25, 2024

thanks

创建者 lucas a

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Aug 15, 2023

gooood

创建者 Shruti Y

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Feb 28, 2023

useful

创建者 Hariom K

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Jan 18, 2022

Thanks

创建者 Sathyaraj P

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Aug 3, 2021

got it

创建者 IZZAT I

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Dec 4, 2025

GOODD

创建者 WANDA P L

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Oct 25, 2025

keren

创建者 Tamajit N

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Nov 7, 2024

Great

创建者 21_085 R E S

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Jun 2, 2024

Great

创建者 Mohsen M

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Feb 3, 2024

10/10

创建者 DAVID R

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Feb 27, 2022

goods

创建者 William G G B

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Jan 17, 2022

Good

创建者 Ali A A

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Oct 26, 2020

great

创建者 Tsoy M

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Jan 29, 2026

dads

创建者 Solanki M N .

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Jan 19, 2026

Good

创建者 NADIA C R

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Dec 29, 2025

baik

创建者 HARAPRASAD P

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Dec 22, 2025

nice

创建者 Twinkel D

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Dec 18, 2025

good

创建者 Shiv O M

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Nov 29, 2025

Good

创建者 MUHAMMAD H S

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Oct 27, 2025

good