Cryptocurrency Clustering

For this project, I use classification to group various cryptocurrencies.

This project accomplishes the following main tasks:

Data Preprocessing:

• Data is prepared for dimension reduction with PCA and clustering using K-Means.

Reducing Data Dimensions Using PCA:

• Completion of this task results in the following dataframe:

Clustering Cryptocurrencies Using K-Means:

• An Elbow Curve is created to find the best value for k.
• Once the best value for k is defined, the Kmeans algorithm is used to predict the k clusters for the cryptocurrencies data.
• Completion of this task results in the following dataframe:

Visualizing Results:

• A 3D-Scatter plot is created using Plotly Express to plot the clusters.
• hvplot.table is used to create a data table with all the current tradable cryptocurrencies.
• A scatter plot is created using hvplot.scatter, to present the clustered data about cryptocurrencies having x="TotalCoinsMined" and y="TotalCoinSupply" to contrast the number of available coins versus the total number of mined coins.