Built an end-to-end SKU-level demand forecasting system in Python using Jupyter Notebooks, leveraging Prophet and ARIMA models to predict monthly sales for 12,000+ automotive chassis parts—enabling ...
A complete, end-to-end Python project for loading OHLCV stock data, running exploratory analysis, testing stationarity, decomposing seasonality, training multiple forecasting models (ARIMA, SARIMA, ...
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