Create a [multi-class classification model](https://docs.aws.amazon.com/redshift/latest/dg/tutorial_multi-class_classification.html) or a [clustering model](https://docs.aws.amazon.com/redshift/latest/dg/tutorial_k-means_clustering.html) as a sql script for AWS Redshift ML to cluster ethereum addresses. Follow and take inspiration from the following work: [Clustering Ethereum Addresses](https://towardsdatascience.com/clustering-ethereum-addresses-18aeca61919d) [CHARACTERIZING THE ETHEREUM ADDRESS SPACE](http://cs229.stanford.edu/proj2017/final-reports/5244232.pdf) https://github.com/willprice221/ethereum_clustering/blob/3e0b88277ae85859bbdff2742bc6cd1391d7edcd/eda/eda.ipynb [Machine Learning and the Network Analysis of Ethereum Trading](https://digitalcommons.dartmouth.edu/cgi/viewcontent.cgi?article=1268&context=senior_theses)
Create a multi-class classification model or a clustering model as a sql script for AWS Redshift ML to cluster ethereum addresses. Follow and take inspiration from the following work:
Clustering Ethereum Addresses
CHARACTERIZING THE ETHEREUM ADDRESS SPACE
https://github.com/willprice221/ethereum_clustering/blob/3e0b88277ae85859bbdff2742bc6cd1391d7edcd/eda/eda.ipynb
Machine Learning and the Network Analysis of Ethereum Trading