abhinav-bhardwaj/Walmart-Sales-Time-Series-Forecasting-Using-Machine-Learning
Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
This helps retail managers and business analysts predict weekly sales for different stores and departments, allowing for better inventory management and staffing. It takes historical sales data, store details, and external factors like temperature and fuel price, to forecast future sales figures. The output is a predicted weekly sales number that can guide operational decisions for someone overseeing retail operations.
No commits in the last 6 months.
Use this if you need to accurately forecast retail sales at a store and department level, taking into account various influencing factors.
Not ideal if you need real-time sales predictions or forecasting for products that lack extensive historical data.
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37
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Jupyter Notebook
License
GPL-3.0
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Last pushed
Jun 01, 2021
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