gini-index
There are 38 repositories under gini-index topic.
Mircea-MMXXI/azapy
Financial Portfolio Optimization Algorithms
anshul1004/DecisionTree
Decision Tree classifier from scratch without any machine learning libraries
fakemonk1/decision-tree-implementation-from-scratch
Decision Tree Implementation from Scratch
esebesty/SplicingFactory
Splicing Diversity Analysis for Transcriptome Data
lpinzari/homogeneity-location-index
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.
shree-ranga/GIMP
Gini Index based sparse signal recovery algorithm
sunshineluyao/uniswap
Uniswap Transaction Analysis Repository: Layer-1 and Layer-2 Transaction Measures
volkansonmez/Algorithms_and_Data_Structures-1
Algorithms and Data Structures for Data Science and Machine Learning
ahirsharan/CART_DecisionTree
Decision Tree Classification via CART Algorithm
xfzhang-zoey/Operation_analytics_sales_data_Python_SQL
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
aaronremski/InvestigateData
Udacity Project 1 - Investigate economic, inequality, & corruption data. This project sets out to find a relationship between the fastest-growing countries, corruption, & inequality.
Luiz-Fernando-Oliveira/Gini.em.R
Estimando um índice de Gini por Unidade da Federação brasileira usando R com base na PNAD Contínua do IBGE
MCHatcher/Fast-computation-Gini
Fast computation of the Gini coefficient
nprimavera/Data-Science-for-Mechanical-Systems-ML-
Code created during a Machine Learning class at Columbia University
pronobkarmoker/SPL-1
Classification of Data Using Decision Tree and Random Forest
sanketmaneDS/Decision_Tree
This repository contains introductory notebooks for Decision tree
sushantnair/Decision_Tree_GINI_Index
A Python implementation of the Decision Tree Algorithm
sushantnair/ML
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.
VaishnaviThakre/DecisionTree-ML
This repository contains ml model for applying decision tree on Iris dataset
chiarasaini/Supervised-and-unsupervised-analysis
Supervised and unsupervised analysis
HarshaliWagh/Machine-Learning-Algorithms
These are coding assignments and projects for the CS 675 Machine Learning course.
Hk669/Hyperparameter-Optimization
The AdaBoost algorithm is an ensemble learning method that combines multiple weak learners (base estimators) to create a stronger predictive model.
HosnawHb/Decision-Tree-Classifier
This project focuses on implementing and analyzing the learning process in decision trees using Connect 4.
krishcy25/DecisionTrees-Gini-Entropy-TitanicSurvivalPrediction
This repository contains code to build various versions of Decision Tree Models (Gini, Entropy) for the Titanic Passenger Survival prediction from Kaggle Competitions. Pruning is also performed to reduce the Overfitting
Mhmd-14/Diabetes_Dataset
Using pyhthon with pandas and scikit-learn libraries to split, train, test and check the accuracy of DecisionTree model on top of diabetes dataset
Mircea-MMXXI/azapyGUI
Graphical user interface for azapy library - Finacial Portfolio Optimization Algorithms
Pkerich/Bank-Marketing-DecisionTree-Classifier
A decision tree classification model based on bank marketing data
Shabb03/Decision-Tree
A decision tree built in python for my 4th year module CA4010, Data Mining
tima-chan/Egyptian-Economy
EDA project for GDP, Inflation, Income Per Capita, Income Inequality in Egypt (1961-2020)
AyanPahari/Decision-Tree-from-Scratch
Implemented a Decision Tree from Scratch using binary univariate split, entropy, and information gain. Used Gini index and Pruning for performance improvement.
mansi-k/ML_basic_algos
Contains KNN regression, Linear regression, KNN classification and Decision trees (using gini index, entropy & misclassification rate), all implemented from scratch.
mmalinova/Excel_projects_at_Statistics
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.
Ninad077/Machine_Learning-Decision_Tree
Content: Root node, Decision node & Leaf nodes, Attribute Selection Measure (ASM), Feature Importance (Information Gain), Gini index