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dendrogram

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The project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and face lower risk by tempering potential losses when the market is down.

  • Updated Jan 20, 2022
  • Jupyter Notebook

A Python-powered ML toolkit featuring a Decision Tree builder and Naive Bayes classifier implemented from scratch. Supports attribute selection using Entropy (ID3) and Gini Index (CART), with custom metric calculations, recursive tree construction, and Graphviz-based visualization for decision boundaries and probabilistic classification.

  • Updated Dec 3, 2025
  • Jupyter Notebook

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