Data Preprocessing for Machine Learning
A comprehensive guide on preparing datasets for machine learning models.
11 month ago
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CONTEXT
This prompt is designed to assist in the data preprocessing phase essential for effective machine learning applications.
OBJECTIVE
The goal is to outline the necessary steps and techniques for cleaning and preparing data for analysis.
FORMAT
The information should be structured into clear sections outlining the preprocessing techniques, tools, and best practices.
EXAMPLES
Common techniques include handling missing values, normalization, encoding categorical variables, and removing outliers.
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