https://github.com/somenath203/predicting-future-retail-sales-of-clothing-stores-using-lstm

https://github.com/somenath203/predicting-future-retail-sales-of-clothing-stores-using-lstm

deep-learning deep-neural-networks forecasting keras long-short-term-memory lstm rnn tensorflow timeseries-forecasting

Last synced: 5 days ago
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• Host: GitHub
• URL: https://github.com/somenath203/predicting-future-retail-sales-of-clothing-stores-using-lstm
• Owner: somenath203
• Created: 2023-12-24T10:41:45.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-25T05:27:04.000Z (about 1 year ago)
• Last Synced: 2024-11-19T17:58:43.982Z (2 months ago)
• Topics: deep-learning, deep-neural-networks, forecasting, keras, long-short-term-memory, lstm, rnn, tensorflow, timeseries-forecasting
• Language: Jupyter Notebook
• Homepage:
• Size: 269 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Predicting Future Retail Sales of Clothing Stores using LSTM

This is a project which uses Tensorflow and Long Short Term Memory(LSTM), a type of Recurrent Neural Network(RNN), to forecast the future retail sales of clothing and clothing accessory stores.

## Link to the Dataset

Link to the dataset used in this project: https://fred.stlouisfed.org/series/MRTSSM448USN