Add ML database models and implement SQLite and Postgres providers

- Created MLExperiment, MLExperimentRequest, MLPrediction, ModelArtifact, ModelPerformanceAnalysis, ModelPerformanceMetric, ModelPerformanceTrend, TrainingDataReference, and VectorSearchResult classes.
- Implemented PostgresMLProvider and SQLiteMLProvider for managing ML experiments, artifacts, and training data.
- Added methods for creating experiments, updating statuses, adding model artifacts, and retrieving experiment artifacts.
- Introduced a new Design Patterns project demonstrating volatility-based decomposition pattern with examples including pricing systems, rules engines, and plugin architectures.

Author: visionarycoder

.best-practices/cloud-architecture/ReadMe.md

@@ -26,7 +26,7 @@ Deliver scalable, resilient, and cost-effective solutions in cloud environments.
 ## 5. Anti-Patterns to Avoid
 
 - Lift-and-shift without modernization
-- Overprovisioning resources
+- Over-provisioning resources
 - Ignoring shared responsibility model
 
 ## 6. Tooling & Ecosystem