https://github.com/muthukumar0908/final_retail_sales_forecast
In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.
https://github.com/muthukumar0908/final_retail_sales_forecast
datawarehousing eda modelbuilding python pythonscraping streamlit-webapp
Last synced: 23 days ago
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In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.
- Host: GitHub
- URL: https://github.com/muthukumar0908/final_retail_sales_forecast
- Owner: Muthukumar0908
- Created: 2024-01-12T07:12:42.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-16T13:28:33.000Z (over 2 years ago)
- Last Synced: 2025-07-23T02:44:37.966Z (11 months ago)
- Topics: datawarehousing, eda, modelbuilding, python, pythonscraping, streamlit-webapp
- Language: Jupyter Notebook
- Homepage:
- Size: 607 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Final_retail_sales_forecast
**Capstone Final Project assigned by Guvi**
**Project title:** Final-Retail-Sales-Forecasting
**Skills take away From This Project:** Python scripting, Data Wrangling, EDA, Model Building, Streamlit.
**Domain:** upermarkets, Chain and Convenience Stores.
**Problem Statement:** Predict the department-wide sales for each store for the following year and the Model effects of markdowns on holiday weeks.
**Results:** In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year. The forecasting model considered historical sales data, seasonality patterns, and other relevant factors to provide accurate and reliable predictions