ML: Project Checklist - dudycooly/1235 GitHub Wiki

Python Project Template

• Prepare Problem
  • Load libraries
  • Load dataset
• Summarize Data
  • Descriptive statistics
  • Data visualizations
• Prepare Data
  • Data Cleaning
  • Feature Selection
  • Data Transforms
• Evaluate Algorithms
  • Split-out validation dataset
  • Test options and evaluation metric
  • Spot Check Algorithms
  • Compare Algorithms
• Improve Accuracy
  • Algorithm Tuning
  • Ensembles
• Finalize Model
  • Predictions on validation dataset
  • Create standalone model on entire training dataset
  • Save model for later use