Feature Engineering for Machine Learning
Tabular Data
Relational Database Records
Time Series Data
Text Documents
Images and Visual Data
Audio and Speech Data
Video Content
JSON Format
XML Documents
Log Files
Web Data
Continuous Variables
Discrete Variables
Count Data
Ratio Variables
Nominal Categories
Ordinal Categories
Binary Variables
Multi-class Variables
Timestamps
Time Intervals
Duration Measurements
Cyclical Time Components
Raw Text Content
Tokenized Text
Linguistic Annotations
Geographic Coordinates
Geometric Shapes
Spatial Relationships
Data Understanding Phase
Exploratory Data Analysis
Feature Creation and Generation
Feature Transformation
Feature Selection and Filtering
Feature Validation
Iterative Refinement Process
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1. Introduction to Feature Engineering
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3. Exploratory Data Analysis for Features