Skip to content
/ Cryptocurrencies Public

Using unsupervised machine learning I analyze cryptocurrencies according to their features

0 stars 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

AbdullahBera/Cryptocurrencies

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
README.md
README.md
 
 
crypto_clustering.ipynb
crypto_clustering.ipynb
 
 

Repository files navigation

Cryptocurrencies

Analysis Overview

In this analysis, using unsupervised machine learning I analyze cryptocurrencies according to their features provided in a csv file.

I complete my analysis in four steps:

  1. Preprocessing the Data for PCA
  2. Reducing Data Dimensions Using PCA
  3. Clustering Cryptocurrencies Using K-means
  4. Visualizing Cryptocurrencies Results

About

Using unsupervised machine learning I analyze cryptocurrencies according to their features

Topics

machine-learning clustering pca-analysis kmeans preprocessing

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages