Data preprocessing

Important to know:
The course video is English with Romanian subtitles and test questions are in Romanian.

Overview

Predictive analysis provides the most value when modeled data is relevant to business objectives. Examine the pre-processing phase of data collection to provide the best predictive model.

 

Objectives

  • Recognize what is safe and insecure data
  • Identify external values and determine whether to remove those values
  • Perform data transformation, normalization, and scaling
  • Recognize important aspects of variable partitioning
  • Recognize important aspects of setting model variables and deleting variables
  • Recognize key approaches for missing data management
  • use imputation to replace missing data

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Enrolled: 12 students
Video: 00:25:28
Level: Intermediate

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