seasonal-naive

Lightning ⚡️ fast forecasting with statistical and econometric models.

🥄✨Time-series Benchmark methods that are Simple and Probabilistic

Benchmark comparing 6 time series forecasting models — Seasonal Naive, ETS, ARIMA, Prophet, NeuralProphet, and LightGBM — on the same data with a shared evaluation pipeline.

Real-time imputation of missing environmental sensor data for fault-tolerant edge computing.

Predicting Gas Prices in Brazil using data from 2004 May - 2019 Dec

Fork of Nixtla/statsforecast. Lightning ⚡️ fast forecasting with statistical and econometric models.

Machine learning forecasting system analyzing post-pandemic tourism recovery across Singapore, Hong Kong, and Bangkok.