a tool to analyze and visualize git logs.

Python Library to Generate Nakamoto Coefficient

Decision-Tree

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

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

Decision tree induction demonstration. ID3, Gini index

Standardized plots and visualizations in Python

Gini calculation on "German Credit Dataset" by Kaggle using R.

Data Science @ Hanyang Univ.

Datamining concepts

Gini feature importance for RankLib random forests

decision tree

IUB CSE 425 (Artificial Intelligence)

Submitted Solution to Kaggle's Home Credit Competition

Data minnig GUI project to predict laptop prices,I uses most of ML algorithmes here

Scorecard tools

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.

This project builds and compares decision tree classifiers using two splitting criteria: Gini impurity and Entropy (information gain). The models are evaluated using accuracy, confusion matrix, precision, recall, F1-score, and tree visualization

Fast computation of the Gini coefficient