A collection of research papers on decision, classification and regression trees with implementations.

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

Classification And Regression Trees (CART) algorithm is a classification algorithm for building a decision tree based on Gini's impurity index as splitting criterion.

Random Forests built on top of rpart, with additional functionality, split functions and probability distributions.

Multiple Responses Subgroup Identification

Machine learning assignments through the semester in Bogazici University

Kokomo is a competitor robot built for Robocode that uses regression tree based machine learning (called "Dynamic Segmentation" on the Robocode wiki) for its targeting strategy

Advanced Statistics and Predictions API for My Final Project

The project aims to design machine learning algorithm which is able to predict energy densities of supercapacitors by using input data that is enriched from the results came from image processing techniques.

Correlation between pitchers' weight, height, pitch type, pitch velocity, horizontal, vertical movement and their onset of Tommy John Surgery

[R][Python] Projects from the MBA "Artificial Intelligence and Machine Learning" and others studies in the same field.

Unlock profit potential with dynamic pricing! This machine learning project optimizes retail prices using regression trees, delving into price elasticity. Explore tools like Python, Pandas, and Matplotlib for robust analysis and decision-making in this data-driven pricing journey.

Gradient-based Entire Tree Optimization For Oblique Regression Tree

For my Data Analytics subject I studied about car consumption habits depending on different factors collected in a survey made by Smartme Analytics.

The thing of beauty in baseball is that each year we have a chance to see players making a leap. Like Jose Bautista, Jose Ramirez, Ben Zobrist, etc. This research aims to find out of these breakout players, the improvement of what stats are more responsible for their WAR and wRC+ gain.

Seminar paper: in the form of an article prepared in LaTech

Soccer Player Transfer Value Prediction using Scikit-learn

Progetto universitario volto alla creazione di un programma, che prendendo in input un dataset in forma testuale o da una tabella di un database, genera un albero di regressione per la predizione i dati

Age estimation is performed from the facial images.