Write a code to implement AdaBoost algorithm using decision stump to learn strong classifier

A CLI Tuner of NGBoost

"AdaFair: Cumulative Fairness Adaptive Boosting" algorithm (CIKM 2019) and its extension to other parity-based fairness notions (@Kais2022); Repository maintained by Vasileios Iosifidis.

House price prediction using ensemble methods including AdaBoost, Gradient Boost and XGBoost.

This project employs ensemble learning methods to forecast cybercrime rates, utilizing datasets with population, internet subscriptions, and crime incidents. By analyzing trends and employing metrics like R2 Score and Mean Squared Error, it aims to enhance prediction accuracy and provide insights for effective prevention strategies.

A curated list of gradient boosting research papers with implementations.

Implemented a Decision Tree Regressor, a Gradient Boosting Regressor, and a Hierarchical Clustering Algorithm.

Implementation of boosting algorithms

This repository contains the code and my submission for the ZS Young data Scientist Challenge 2018 which got me a final leaderboard Rank 30 among 7500 participants

Source code to reproduce the results of the cost-sensitive boosting for classification of imbalanced data

Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.

A simulation study completed during a visit at the Microsoft Research, Cambridge (May-Sept, 2022)

ML/DL algorithm

This project employs ensemble learning methods to forecast cybercrime rates, utilizing datasets with population, internet subscriptions, and crime incidents. By analyzing trends and employing metrics like R2 Score and Mean Squared Error, it aims to enhance prediction accuracy and provide insights for effective prevention strategies.

boosting algorithms for neuroscience

Data based security code for malware detection using various of boost algorithm

Predicting water pump functionality using a Random Forest classifier