Retail Sales Forecasting Project

This project forecasts weekly sales for retail products based on historical sales, promotions, mobility trends, and special event data (Valentine's Day, Easter, Christmas).

📊 Contents

• Exploratory Data Analysis (EDA)
• Feature Engineering (Lag, Rolling Averages, Promo Flags)
• Model Building with XGBoost
• Model Tuning and Evaluation
• Final Report (PDF Attached)

🛠️ Technologies Used

• Python (Pandas, NumPy, Matplotlib, Seaborn)
• XGBoost Regressor
• Jupyter Notebook
• GitHub for version control

🧠 Author

• Name: [Egbe Grace Egbe]
• LinkedIn: [https://www.linkedin.com/in/grace-egbe-77820b278/]

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