Feature Engineering for Machine Learning

  1. Foundational Concepts
    1. Data Types and Structures
      1. Structured Data
        1. Tabular Data
          1. Relational Database Records
            1. Time Series Data
            2. Unstructured Data
              1. Text Documents
                1. Images and Visual Data
                  1. Audio and Speech Data
                    1. Video Content
                    2. Semi-Structured Data
                      1. JSON Format
                        1. XML Documents
                          1. Log Files
                            1. Web Data
                          2. Feature Type Classification
                            1. Numerical Features
                              1. Continuous Variables
                                1. Discrete Variables
                                  1. Count Data
                                    1. Ratio Variables
                                    2. Categorical Features
                                      1. Nominal Categories
                                        1. Ordinal Categories
                                          1. Binary Variables
                                            1. Multi-class Variables
                                            2. Temporal Features
                                              1. Timestamps
                                                1. Time Intervals
                                                  1. Duration Measurements
                                                    1. Cyclical Time Components
                                                    2. Text Features
                                                      1. Raw Text Content
                                                        1. Tokenized Text
                                                          1. Linguistic Annotations
                                                          2. Spatial Features
                                                            1. Geographic Coordinates
                                                              1. Geometric Shapes
                                                                1. Spatial Relationships
                                                              2. Feature Engineering Workflow
                                                                1. Data Understanding Phase
                                                                  1. Exploratory Data Analysis
                                                                    1. Feature Creation and Generation
                                                                      1. Feature Transformation
                                                                        1. Feature Selection and Filtering
                                                                          1. Feature Validation
                                                                            1. Iterative Refinement Process

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                                                                          1. Introduction to Feature Engineering

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                                                                          3. Exploratory Data Analysis for Features