There are 1 repository under gini-index topic.
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
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
Uniswap Transaction Analysis Repository: Layer-1 and Layer-2 Transaction Measures
Algorithms and Data Structures for Data Science and Machine Learning
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
Udacity Project 1 - Investigate economic, inequality, & corruption data. This project sets out to find a relationship between the fastest-growing countries, corruption, & inequality.
Estimando um índice de Gini por Unidade da Federação brasileira usando R com base na PNAD Contínua do IBGE
Fast computation of the Gini coefficient
Code created during a Machine Learning class at Columbia University
This repository contains introductory notebooks for Decision tree
A Python implementation of the Decision Tree Algorithm
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.
This repository contains ml model for applying decision tree on Iris dataset
Supervised and unsupervised analysis
These are coding assignments and projects for the CS 675 Machine Learning course.
The AdaBoost algorithm is an ensemble learning method that combines multiple weak learners (base estimators) to create a stronger predictive model.
This project focuses on implementing and analyzing the learning process in decision trees using Connect 4.
2D Gini Index Implementation
Using pyhthon with pandas and scikit-learn libraries to split, train, test and check the accuracy of DecisionTree model on top of diabetes dataset
Graphical user interface for azapy library - Finacial Portfolio Optimization Algorithms
Assignments and Project from NJIT CS 675
EDA project for GDP, Inflation, Income Per Capita, Income Inequality in Egypt (1961-2020)
Implemented a Decision Tree from Scratch using binary univariate split, entropy, and information gain. Used Gini index and Pruning for performance improvement.
Contains KNN regression, Linear regression, KNN classification and Decision trees (using gini index, entropy & misclassification rate), all implemented from scratch.
Here are some projects based on static methods of information processing. There are many different methods that you can use to process your information, depending on your needs.
Content: Root node, Decision node & Leaf nodes, Attribute Selection Measure (ASM), Feature Importance (Information Gain), Gini index
Classification of Data Using Decision Tree and Random Forest