classification-tree

A curated list of gradient boosting research papers with implementations.

Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.

"ReLU+Argmin"-based Differentiable Decision Tree (Spotlight Paper at NeurIPS 2025)

Solution for ENS - Societe Generale Challenge (1st place).

Customer Churn Analysis in R: Logistic, Classification Tree, XGBoost, Random Forest.

"ReLU+Argmin"-based Differentiable Decision Tree (Spotlight Paper at NeurIPS 2025)

Gradient-based Entire Tree Optimization For Oblique Decision Tree

R | Classification Project

Building a binary classification model to determine whether or not an employee in the tech industry chooses to seek treatment for a mental health condition

Exemplo de aprendizagem de máquina por K-ésimo Vizinho mais Próximo usando Python

Recursive Partitioning and Regression Trees adapted to Random Forests with more split functions

evaluating credit default rate using statistical machine learning methods

Exploratory data analysis and classification tree algorithm (sklearn).

KNN Algorithms, Naive Bayes, Classification Tree, PCA Implementations

This project is part of the Statistical Learning course.

AutoValuate: A machine learning-driven tool for classifying used car prices as high or low, enabling smarter decisions in the car resale market.

Built and tested 6 supervised machine learning algorithm to develop a predictive classification model to classify 13000+ projects as success or failure.

In this report, the goal is to predict Attrition by selecting a set of explanatory variables and building a random forest classification tree.

factor selection, exploratory data analysis, statistical learning on both qualitative and quantitative data in R