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: 8 months 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 (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-12-25T05:27:04.000Z (almost 2 years ago)
- Last Synced: 2025-01-20T20:50:29.460Z (10 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
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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