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Bootcamp: UPENN-VIRT-DATA-PT-06-2023-U-LOLC-MTTH Module 19 Challenge

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CryptoClustering

Bootcamp: UPENN-VIRT-DATA-PT-06-2023-U-LOLC-MTTH Module 19 Challenge

Description

In this challenge, we attempt to use unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.

Installation/Instructions

Requirements

Files in this repo were made using the following package and program versions:

  • Python 3.10
  • Jupyter 1.0.0
  • Pandas 1.5.3
  • hvPlot 0.8.4
  • Scikit-Learn 1.2.2

Installation

Clone this repo: git clone https://github.com/4a6166/CryptoClustering.git

Output

All calculations and outputs are contained in the Jupyter Notebook file Crypto_Clustering.ipynb

Credits

Data for this dataset was generated by edX Boot Camps LLC, and is intended for educational purposes only.

License

MIT License

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Bootcamp: UPENN-VIRT-DATA-PT-06-2023-U-LOLC-MTTH Module 19 Challenge

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