https://github.com/codeamt/bitcoinpyspark

Multivariate Time Series Forecasting and Inductive Feature Elimination Technique for Bitcoin with PySpark and Colab.
https://github.com/codeamt/bitcoinpyspark

Last synced: about 2 months ago
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Multivariate Time Series Forecasting and Inductive Feature Elimination Technique for Bitcoin with PySpark and Colab.

• Host: GitHub
• URL: https://github.com/codeamt/bitcoinpyspark
• Owner: codeamt
• Created: 2019-07-19T07:27:12.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-09-15T23:09:06.000Z (over 5 years ago)
• Last Synced: 2023-10-20T04:52:14.491Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 644 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
BitcoinPyspark

Multivariate Time Series Forecasting and Inductive Feature Elimination Technique for Bitcoin with PySpark and Colab.




- **[Medium Tutorial](https://medium.com/experimenting-with-deep-learning/predictbit-d0c1e44990a3)** 

- **[Colab Notebook](https://colab.research.google.com/drive/1jDzhxP5xUDrmaLvPABKnzFdGVavbOoIh?source=post_page---------------------------)** 

- **[Local File (Notebook)](https://github.com/codeamt/BitcoinPyspark/blob/master/Bitcoin_PySpark%20(1).ipynb)**