ML Pipeline

It’s a step by step guide to solve a Machine Learning Problem.

1. Problem Definition
2. Data Ingestion
3. Data Preparation
4. Data Segregation
5. Model Training
6. Model Evaluation
7. Model Deployment
8. Performance Monitoring

Related:

• CRISP-DM
• Knowledge Discovery Pipeline