Machine Learning · Case Study

Crypto Clustering

Unsupervised learning to classify cryptocurrencies by market behavior.

PythonScikit-learn
▶ View Source on GitHub All Projects

Highlights

▸Unsupervised K-Means clustering of cryptocurrencies
▸PCA dimensionality reduction for market segmentation
▸Scikit-learn pipeline with scaled feature space
This is a documentation view of the project. The complete implementation — code, notebooks, and technical detail — lives in the GitHub repository.