Bootcamp: UPENN-VIRT-DATA-PT-06-2023-U-LOLC-MTTH Module 19 Challenge
In this challenge, we attempt to use unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.
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
Clone this repo: git clone https://github.com/4a6166/CryptoClustering.git
All calculations and outputs are contained in the Jupyter Notebook file Crypto_Clustering.ipynb
Data for this dataset was generated by edX Boot Camps LLC, and is intended for educational purposes only.