A python package for time series forecasting with scikit-learn estimators.

flexible time series forecasting using machine learning

Time series sales forecasting for Corporación Favorita — XGBoost, SARIMA, LSTM, Streamlit app

A high-performance machine learning pipeline built with **Python**, **Pathlib**, and **LightGBM** designed to aggregate raw text transaction logs recursively, construct deep temporal features, and perform multi-step recursive quantile time-series forecasting.