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unsupervised-learning---clusters-cryptocurrencies-performance-in-different-time-periods's Introduction

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In this repository we anaylyze clusters of cryptocurrencies by their performance in different time periods by using unsupervised learning. We compared the results of the clusters with and without PCA.


Installation Guide

First make sure you have these packages installed and imported.

import pandas as pd
import hvplot.pandas
from pathlib import Path
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler

Usage

To use this notebook for your own anaylyis, you will:

  • Clone the repository, and open the crypto_investments.ipynb file.
    • Make sure your working directory is correct!
  • If you would like to use your own data, replace the csv files in the resource folder with your own.
  • The data is in the "Resources" folder in this repository


Contributors

G. Cale McDowell @gcm107

License

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