Financial Portfolio Optimization Algorithms

Decision Tree classifier from scratch without any machine learning libraries

Decision Tree Implementation from Scratch

Splicing Diversity Analysis for Transcriptome Data

Algorithms and Data Structures for Data Science and Machine Learning

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.

Gini Index based sparse signal recovery algorithm

Decision Tree Classification via CART Algorithm

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

Fast computation of the Gini coefficient

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

Code created during a Machine Learning class at Columbia University

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

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

This repository contains introductory notebooks for Decision tree

Estimando um índice de Gini por Unidade da Federação brasileira usando R com base na PNAD Contínua do IBGE

Classification of Data Using Decision Tree and Random Forest