Analytics Lifecycle

1. Business Problem Identification
2. Data Understanding
3. Hypothesis Creation
4. Data Preparation
5. Model Build
6. External Factor Identification
7. Model Evaluation
8. Define Visualisation
9. Deployment
10. Maintenance

Improving Performance of a ML model

• Dimensionality reduction is all about removing noise in input parameters
• Hyperparameter tuning is like turning and pushing some knobs on a mixing console.
• Ensemble methods harness the predictions of several methods at once.