ML Workflow Overview
# | Step | Phase | Key Output |
1 | Data Collection | Data Analysis | 53,940 diamonds loaded |
2 | Exploratory Data Analysis (EDA) | Data Analysis | Key patterns & correlations found |
3 | Feature Engineering | Data Engineering | Clean, numeric feature set |
4 | Build & Train Model | Machine Learning | Trained pricing model |
5 | Evaluate Performance | Machine Learning | MAE ~$540, R² ~0.97 |
6 | Fine Tuning | Machine Learning | Production-ready model |