Fast boosting with AdaBoost and Bandit

Supervised learning and unsupervised in R, with a focus on regression and classification methods.

TP2 de Aprendizado de Máquina (2021/1) no DCC/UFMG.

This repository consists of projects on Big Data and Data Analytics as a part of our curriculum for PGDM- BDA (4th Term) at FORE School of Management, New Delhi.

Industrial-level analysis for predicting user retention

Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).

A machine learning project predicting school dropouts in El Salvador.

Predicting the physical form of polymer samples based on laboratory measurements of the particle and bulk densities of the samples.

A curated list of gradient boosting research papers with implementations.

The objective of the project is to demonstrate a model which can identify risky bank loans i.e., the one's likely to default. In doing so, I have implemented decision tree algorithm and applied boosting to further make the code more accurate.

An R package that makes xgboost models fully interpretable

Machine Learning Techniques

ML Algorithms notebook with dataset. Will keep on Updating this Repo.

Part of Machine Learning coursework

A toolbox to simplify training, testing, and running HAAR/LBP cascades for object detection

Forecast of car claim frequency using GLM, boosting and neural networks

ANOVA, PCA, Machine Learning Algorithms, Ensemble techniques - Bagging, Boosting and Voting Classifier, Predictive Modelling, Text analytics, Data Mining Techniques

Pagina de servicio de Boosting en League Of Legends