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.
Interactive loan prediction system built with Streamlit and Decision Tree Classifier. Implements mathematical models like entropy, Gini impurity, and information gain with real-time visualization. Combines ML, statistics, and feature engineering for interpretable financial analytics.
Design and Implementation of Random Forest algorithm from scratch to execute Pacman strategies and actions in a deterministic, fully observable Pacman Environment.
A Decision Tree; multi-class classification problem with continuous feature/attribute values
Decision Tree Implementation.
Decision Tree for classification and regression problems from scratch.
Pattern Recognition homework3 in NYCU. This project is to implement the Decision Tree, AdaBoost and Random Forest algorithm by using only NumPy.
Tree Predictors for Binary Classification for Secondary Mushroom dataset
The practical works (TP) of SD201 - Mining of Large Datasets course at Télécom Paris.
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