a tool to analyze and visualize git logs.

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.

Python Library to Generate Nakamoto Coefficient

This repository contains the implementation of known formulas in the field of Data Mining / Machine Learning / Statistics using Python and the Numpy library.

Gini feature importance for RankLib random forests

UC Berkeley ISF 189 (Introduction to Interdisciplinary Research Methods) Summer 2017

Decision-Tree

IUB CSE 425 (Artificial Intelligence)

Empirical analysis of the relationship between financial development and income inequality using panel data econometrics

Standardized plots and visualizations in Python

compute educational gini for each administrative district of Chile based on Census2017 through the package 'DescTools'

This project deals with classification problems and the machine learning algorithms used to solve them.

Fast computation of the Gini coefficient

Reproducible agent-based toy economy to explore tax/UBI policy tradeoffs (with metrics + sweeps)

Data Science @ Hanyang Univ.

A Python implementation of the Decision Tree Algorithm

Model monitoring for deployed insurance pricing models. Exposure-weighted PSI, A/E ratios, Gini drift z-test (arXiv 2510.04556), traffic-light reporting.

Submitted Solution to Kaggle's Home Credit Competition

Datamining concepts