This is an official PyTorch implementation of "Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting"

This project uses data from FRED to calculate year over year inflation from monthly data using both core and headline price indexes: CPI, PPI, PCE; plot Phillips Curve per decade for each Price Index used

A comprehensive machine learning system for predicting hourly natural gas consumption with 98.59% cross-validated accuracy. This full-stack application combines advanced data processing, rigorous feature engineering, and production-ready deployment with a modern web interface.