Overview
1-month CPI YoY forecasting model using FRED CPI and Google Trends. Bayesian Ridge achieved RMSE ≈ 0.39 with 55–60% directional accuracy (4th of 50+ teams).
Key Features
- Built with modern tech stack
- Focus on user experience and performance
- Scalable architecture
Technical Implementation
This project leverages Python and Time Series to create a robust solution. More detailed write-up coming soon.