Table of Contents

  1. Organizing Your Data Science Project
  2. Preparing Your Data Structure
  3. Building Your ML Architecture
  4. Bye-Bye Scheduler, Welcome Airflow
  5. Organizing Your Data Science Project Structure
  6. Feature Store for ML 
  7. Serving ML as API