Time Series Analysis and Forecasting (using ARIMA, UCM and Random Forest models) of a restaurant's revenue during the first lockdown of the COVID-19 pandemic in Italy, to estimate the loss incurred.
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Mar 2, 2023 - R
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rolling-origin
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Panel time-series forecasting notebooks (daily sales across stores × items). Clean validation (holdout + rolling-origin backtest), strong statistical baselines (SARIMAX/TBATS/ARIMA), and automated models (AutoTS), with optional Prophet/Darts/NeuralProphet. Primary metric: SMAPE.
python time-series forecasting notebooks darts arima prophet panel-data backtesting sarimax optuna tbats autots neuralprophet smape rolling-origin
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Oct 7, 2025 - Jupyter Notebook
📊 Explore panel time-series forecasting techniques for sales using popular Python libraries like ARIMA, Prophet, and AutoTS in Jupyter notebooks.
python time-series forecasting notebooks darts arima prophet panel-data backtesting sarimax github-config optuna tbats autots neuralprophet smape rolling-origin
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Dec 23, 2025 - Jupyter Notebook
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