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#8 Data Preprocessing In Data Mining - 4 Steps DM

Learners: 133,319

Instructor: Trouble- Free

Duration:

The course "#8 Data Preprocessing In Data Mining - 4 Steps DM" offers a comprehensive overview of the four crucial steps involved in data preprocessing for data mining. It covers data cleaning, integration, transformation, and reduction, highlighting their significance in improving the accuracy of data mining models. The course provides practical examples to illustrate the application of these preprocessing steps, equipping participants with a better understanding of their importance and how to effectively utilize them in data mining.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Free

Provider:

Youtube

Certificate:

No Information

Language:

English

Start Date:

2022-02-06 00:00:00

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides an overview of the four steps of data preprocessing in data mining. It covers topics such as data cleaning, data integration, data transformation, and data reduction. The importance of data preprocessing and how it can help improve the accuracy of data mining models is discussed. Practical examples of how to apply the four steps of data preprocessing in data mining are also provided. Upon completion of the course, participants will have a better understanding of the importance of data preprocessing and how to apply it in data mining.