An Ecuadorian-based grocery retailer, Corporation Favorita, needs a model that accurately predicts the unit sales for thousands of items sold at their different stores.
This Project is a data science and machine learning initiative focused on predicting store sales trends, enabling retailers to:
- Anticipate and plan for future sales across multiple stores.
- Allocate resources efficiently.
- Optimize inventory management.
- Enhance overall profitability.
- oil.csv: Historical data on oil prices.
- stores.csv: Information about store details.
- holidays_events.csv: Dataset containing information about holidays and events.
- test.csv: Test dataset for model evaluation.
- transactions.csv: Transaction history data.
- train.csv: Training dataset for model development.