boosting-algorithm

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

Preprocessing and boosting pipelines associated with neuroscientific research paper.

12 clinical features for predicting death events.

It predicts the popularity of the restaurant based on the Cuisines, Locations and average cost. Through this prediction you can also find restaurant benchmarks based on the location.

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

GS-Quantify' 17, Goldman Sachs Data Science Competition

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

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

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.

A from-scratch, educational implementation of the XGBoost algorithm for binary classification

This is a ADABoosting algorithm implementation for a TicTacToe dataset

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.