This project focuses on forecasting Walmart's sales using Facebook's Prophet time series forecasting tool. It aims to provide insights into future sales trends based on historical data obtained from kaggle (https://www.kaggle.com/datasets/souravprakashai/walmart-condensed-sales-data).
The project utilizes a dataset of Walmart's historical sales, focusing on forecasting future sales patterns. Using Facebook's Prophet, it predicts sales for specific time horizons and evaluates the forecast's accuracy with various metrics.
- Data Preparation: Cleansing and structuring Walmart's historical sales data.
- Time Series Forecasting: Utilizing Prophet for forecasting future sales.
- Performance Metrics: Evaluation of the model's performance using metrics like MSE, RMSE, MAE, MAPE, and more.
- Visualizations: Plotting sales forecasts and performance metrics for better understanding and analysis.
- Python
- Pandas for data manipulation
- Facebook's Prophet for time series forecasting
- Matplotlib for data visualization