Data preprocessing

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