Recommendation system for users in social network, which provides 5 relevant posts per user. Uses PostgreSQL tables to retrieve user, posts and history of iteractions. Part of Karpov Courses StartML, link below

Text Classification Algorithms: A Survey

A curated list of gradient boosting research papers with implementations.

Play around with NGBoost and compare with LightGBM 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.

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

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

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

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

Turkcell&Miuul Data Science Bootcamp - Assignments

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

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

ML/DL algorithm

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

MILBoost and other boosting algorithms, compatible with scikit-learn

A CLI Tuner of NGBoost

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

boosting algorithms for neuroscience