https://github.com/niranjanrao07/cryptospark
CryptoSpark is a lightweight, end-to-end demo for processing Binance trade data with Apache Spark, engineering key features (returns, volatility, moving averages), and training a simple classifier. It includes a minimal web UI to explore predictions interactively.
https://github.com/niranjanrao07/cryptospark
flask logistic-regression python s3 spark streamlit xgboost
Last synced: about 2 months ago
JSON representation
CryptoSpark is a lightweight, end-to-end demo for processing Binance trade data with Apache Spark, engineering key features (returns, volatility, moving averages), and training a simple classifier. It includes a minimal web UI to explore predictions interactively.
- Host: GitHub
- URL: https://github.com/niranjanrao07/cryptospark
- Owner: NiranjanRao07
- Created: 2025-03-12T19:02:32.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-13T05:07:15.000Z (about 1 year ago)
- Last Synced: 2025-10-27T06:29:25.649Z (8 months ago)
- Topics: flask, logistic-regression, python, s3, spark, streamlit, xgboost
- Language: Python
- Homepage:
- Size: 423 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md