• rocket_launch Quickstart
    • Apply operations on text columns
    • Apply operations on numeric columns
    • Categorical Encoding - Best Practices with Real Datasets
    • Discretization - Transforming Continuous to Categorical
    • Feature Scaling for Machine Learning - Complete Guide
    • Handling Missing Values - Real-World Scenarios
    • Text Cleaning - Practical Examples with Real Datasets
    • Preprocess FIFA dataset
    • preprocess init
    • preprocess run
    • preprocess summary
    • preprocess diff
    • preprocess skim
    • preprocess version
    • Simple template
    • Numeric operations
    • Filling missing values
    • Scaling dataset
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        • 1. Start with the Closest Match
        • 2. Understand Before Customizing
        • 3. Test Incrementally
        • 4. Save Your Customizations
        • 5. Document Your Changes
      • Next Steps
      • Prepfile Templates
      • Available Templates
      • How to Use Templates
        • Quick Start with Templates
        • Example Workflow
      • Template Categories
        • Beginner Templates
        • Intermediate Templates
        • Advanced Templates
      • Creating Custom Templates
        • Best Practices for Template Creation
        • Template Structure
        • Template Documentation
        • Example: Machine Learning Template
      • Tips for Using Templates
        • 1. Start with the Closest Match
        • 2. Understand Before Customizing
        • 3. Test Incrementally
        • 4. Save Your Customizations
        • 5. Document Your Changes
      • Next Steps

      Prepfile Templates

      article

      Simple template

      Use basic operations

      article

      Numeric operations

      Apply operations on numeric columns only