A collection of boosting algorithms written in Rust 🦀

Rule covering for interpretation and boosting

Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.

Inter IIT Techmeet 2017, IIT Madras - Data Science Competition

12 clinical features for predicting death events.

Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset

Analyze This' 17, American Express Data Science Competition ('Outstanding Performer')

GS-Quantify' 17, Goldman Sachs Data Science Competition

[ Machine Learning ] 2nd Practice re-uploaded. Co-Author: @Devinchy

This project is about credit risk measurement for a bank. The project entailed a comprehensive analysis of client default tendencies relative to their backgrounds using advanced classification models, providing actionable insights by model comparison and refinement.

In this course, you will get advanced knowledge on Data Mining. This course begins by providing you the complete knowledge about the introduction of Data Mining. This course is a complete package for everyone wanting to pursue a career in data mining.

This is a ADABoosting algorithm implementation for a TicTacToe dataset

Comparison K-Nearest Neighbor, Random Forest, and Boosting Algorithm for Predicting Diamond Prices

Preprocessing and boosting pipelines associated with neuroscientific research paper.