Welcome to the Big Mart Sales Prediction project repository! This project aims to predict sales for a chain of Big Mart stores across various locations. By leveraging historical sales data and applying machine learning techniques, we aim to provide accurate sales forecasts that can help improve inventory management, enhance marketing strategies, and optimize overall store performance.
Big Mart is a popular retail chain, and like many other retailers, it faces challenges in accurately predicting sales. This project addresses these challenges by:
- Analyzing historical sales data
- Identifying key factors that influence sales
- Building predictive models to forecast future sales
- Data Analysis: Comprehensive analysis of historical sales data to uncover trends and patterns.
- Feature Engineering: Creating new features to improve model performance.
- Modeling: Utilizing state-of-the-art machine learning algorithms to build predictive models.
- Evaluation: Assessing model performance using various metrics to ensure accuracy and reliability.
To get started with this project, follow these steps:
- Clone the repository:
git clone https://github.com/legion0069/big-mart-sales-prediction.git cd big-mart-sales-prediction