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https://github.com/srineogi/time-series-modelling-deep-learning-python
https://github.com/srineogi/time-series-modelling-deep-learning-python
Last synced: 18 days ago
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- Host: GitHub
- URL: https://github.com/srineogi/time-series-modelling-deep-learning-python
- Owner: SriNeogi
- Created: 2024-12-12T16:05:33.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-12-17T14:03:20.000Z (about 1 month ago)
- Last Synced: 2024-12-17T15:18:16.138Z (about 1 month ago)
- Language: Jupyter Notebook
- Size: 64.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# About
LSTM is a special type of RNN. LSTMs are used for sequential data. Here we are using it for univariate time series modelling.
## Dataset
This is horizontal time series data set. Each row contains unique Sales Product-Market combinations. There are 19 such rows. Each time series has 36 time steps.