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返回到 Exploratory Data Analysis for Machine Learning

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

NS

Nov 23, 2021

The course is exceptional and a huge learning opportunity for Exploratory Data Analysis. The final project is the best part of the course and helps to apply the concepts to real life data.

ML

Sep 21, 2021

Excellent, very detailed. However, if the lessons can be expand for hypothesis testing and some of their common test like T test, Anova 1 and 2 way, chi square,..it would be better further.

筛选依据：

426 - Exploratory Data Analysis for Machine Learning 的 450 个评论（共 515 个）

创建者 Akhil M

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Dec 25, 2023

Really well-structured and easy to follow. Exercises are helpful.

创建者 Rafael O D R

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Oct 6, 2022

It's a very good course, special mention to week 2 and 3.

创建者 Daren L P

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Jun 27, 2022

I enjoyed the course, the example code/labs were awesome

创建者 Hrishikesh G

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Aug 5, 2024

video should be made more engaging, but content was good

创建者 Olivier F

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Oct 7, 2021

Good introduction and Exploratory Data Analysis course.

创建者 David F C O

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Aug 26, 2024

There are some algorithms over seaborn in deprecated

创建者 CHIARA B

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Sep 18, 2021

A good background in math and some python is needed.

创建者 Miguel D

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May 12, 2021

I wish the hypothesis part was a bit more detailed

创建者 Jetal B

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Jan 6, 2025

The explanation could be more detailed and clear

创建者 Rajshree K

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Oct 19, 2022

Very nice explaination....really very helpful

创建者 DONG C

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Sep 8, 2021

Better than other IBM ML certificate series

创建者 Tania L

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Oct 19, 2021

Quite interesting course for beginners

创建者 Vu T T

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Jun 22, 2023

It's a bit difficult to understand

创建者 Chandan K G

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Jul 19, 2021

It was nice learning experience.

创建者 Soumyadip C

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Mar 9, 2024

project submission is difficult

创建者 Aryan T

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Sep 28, 2024

Please elaborate the labs more

创建者 Harsh Y

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Aug 4, 2023

the course is very helpful..

创建者 Shubarani S

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Mar 23, 2024

Its a fantastic platform

创建者 IOVACCHINI F

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Aug 2, 2023

well explained subjects.

创建者 OMAR A A H

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Nov 1, 2020

Very well structured

创建者 Karine T

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Aug 5, 2025

Tres instructif

创建者 Pampa D

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Apr 17, 2022

Good content.

创建者 Harsh P

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Oct 21, 2023

informative

创建者 Agnibha D R

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Apr 30, 2023

NIce Course

创建者 ADAM F

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Oct 23, 2025

good cours