Financial Portfolio Optimization Algorithms

A python library for the computation of various concentration, inequality and diversity indices

This repository contains Python scripts for calculating the Gini Impurity measure for each feature in a relational dataset, great for feature selection, data preprocessing, decision tree construction, binary classification tasks.

Decision Tree classifier from scratch without any machine learning libraries

Decision Tree Implementation from Scratch

Uniswap Transaction Analysis Repository: Layer-1 and Layer-2 Transaction Measures

Splicing Diversity Analysis for Transcriptome Data

Gini Index based sparse signal recovery algorithm

The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.

The complete Python code for the Attribute Selection Algorithm, using the parameters Entropy, Information gain and Gini Index. The following code will help in induction of the Decision Tree using a custom data set present in CSV format.

Decision Tree Classification via CART Algorithm

Algorithms and Data Structures for Data Science and Machine Learning

Décorticage les jeux de données commerciale pour faciliter la prise de décision appuyée sur data: sortir les business insights, identifier les anomalies et des opportunités

⚖️ A Reproducible Pipeline for Processing DATASUS Data on the Gini Index of Per Capita Household Income by Brazilian Municipality for the Years 1991, 2000, and 2010

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.

Comparative analysis of political ideologies, polarization, and internal order across 35+ democracies from 1900–2023. Includes ideology scores, Gini-based fragmentation metrics, and Ray Dalio’s framework applied to democratic stability.

A collection of experiments I have performed for the course "Machine Learning" as part of the curriculum for Semester 6 of TY B. Tech. Computer Engineering at KJ Somaiya College of Engineering.

A Python implementation of the Decision Tree Algorithm

Udacity Project 1 - Investigate economic, inequality, & corruption data. This project sets out to find a relationship between the fastest-growing countries, corruption, & inequality.

Classification of Data Using Decision Tree and Random Forest