This project focuses on forecasting US inflation trends using historical data. Since economic data is often erratic, this notebook explores the transformation of non-stationary series into stationary ones to build reliable predictive models.

End-to-end time series analysis of hourly electricity consumption across 4,400+ London households using smart meter data