This project focuses on building an end-to-end time series forecasting system to predict daily grocery sales for different product families across multiple stores. The goal is to leverage historical sales data along with external factors such as promotions, holidays, and oil prices to accurately forecast future demand.
feature-engineering time-series-forecasting model-evaluation-and-validation ml-and-dl-model-design pipeline-engineering prodcution-style-inference-design
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Updated
Jan 9, 2026 - Jupyter Notebook