print a binary tree in dot/json format

Java implementation of CallGraph

ML supervised learning

Used the Decision Tree and Random Forest algorithms to ace this project

This project applies a Decision Tree classifier to classify individuals in fraud detection and analyze factors influencing high sales in a cloth manufacturing company. It involves data preprocessing, model training, and feature importance evaluation. The model's performance is visualized through decision tree plots.

Dependency Graph Creation from Make

Реализация двусвязного списка (на индексах и указателях)

Text-to Graph Generator

C++ implementation AVLTree with graphiz visualisation