Project Title

Forecasting System - Project Demand of Products at a Retail Outlet Based on Historical Data

Project Description

Project Objective & Brief: Here i have developed a forecasting system with the help of ARIMA models and facebook's prophet library. This for forecasting system is used for predicting the demand for products at a retail outlet based on historical data.

Project Guidelines :

1. Create a dataset , clean the dataset and also sanitize it.
2. Choose the appropriate forecasting model for the dataset.
3. Fit the model to dataset and make predictions
4. Visualize the predictions

Expected Project Outcome:

1. Learn about different forecasting models like ARMA and ARIMA.
2. Get familiar with python libraries like numpy, pandas, statsmodels and prophet.
3. Get familiar with industry type projects.

Software Requirements to Implement the Project:

1. Google Collab
2. Jupyter Notebook
3. Python
4. Windows O.S. (opt)

Dataset Sources used here :

1. https://community.tableau.com/s/question/0D54T00000CWeX8SAL/sample-superstore-sales-excelxls