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

4.6
2,458 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

HV

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.

AE

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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126 - Exploratory Data Analysis for Machine Learning 的 150 个评论(共 502 个)

创建者 La M M

Jul 23, 2025

Explanation of the Instructor, lecture of this course is really good

创建者 Jose P

Apr 24, 2024

Well orchestrated presentation of various ML topics and techniques.

创建者 yogesh c

Nov 3, 2022

It is best to Learn and incorporate technics in the business world.

创建者 Cesar A R

Apr 14, 2023

Great course, I learnt a lot, I recommend it for everybody. Thanks

创建者 GARVIT R

Aug 3, 2022

Very detailed and short course I learn basics of Machine learning.

创建者 Erwin F R V

Jun 25, 2023

Very complete course, covering the necessary items for a good EDA

创建者 KOUADIO A R

Aug 4, 2021

Cette formation pour moi est la meilleure pour un Data Analyst !

创建者 Virgilio N

Apr 23, 2022

Great detail and explantion. Easy to follow. Highly recommended.

创建者 serkan m

Apr 10, 2021

This was a great journey for me. Thanks for this awesome course.

创建者 Eric N A

Mar 6, 2022

The instructor is very good and the instructions were fantastic

创建者 John 3

Jun 10, 2024

Excellent course. Great foundation course on machine learning.

创建者 Andrian R

Jul 6, 2021

Aku suka ini, ini sangat jelas terima, kasih kepada instruktur

创建者 Marwan K

Oct 31, 2021

Thank you Coursera

Thank you IBM

Thank you to all intructors

创建者 Mehrdad S

Jul 21, 2022

this course is amazing .

I understand every thing

thanks lot

创建者 Gianluca P

Mar 19, 2021

Vry well organized. Explanations are clear and to the point.

创建者 Farzana A M

Dec 20, 2024

This course is beneficial for starting machine learning. ..

创建者 Jackson W

Mar 1, 2024

Great overview of fundamental concepts of machine learning!

创建者 Yahya A

May 9, 2023

A beautiful course and I advice my friends to enroll in it.

创建者 Diego A

Apr 30, 2021

muy buen curso es ágil y muy educativo, además de practico

创建者 Vivek S Y

Jul 23, 2025

Very informative with a solid foundation and applications

创建者 ALI S

Sep 28, 2024

It is great course containing a lot of useful information

创建者 alexandret n

Mar 21, 2024

Muito bom para querm esta começando com ciências de dados

创建者 Priyabrata S

Jul 1, 2023

This course is so good I got to know so many new things.

创建者 Alejandro B E

May 12, 2024

Good course even for experienced students on the field

创建者 Pierluigi A

Nov 8, 2020

great course even for those who are not keen on coding