#

boosting

Here are 37 public repositories matching this topic...

anishsingh20 / Statistical-Learning-using-R

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

Updated Apr 7, 2018
R

benedekrozemberczki / Societe-General

Solution for ENS - Societe Generale Challenge (1st place).

competition machine-learning hacking prediction supervised-learning xgboost forecasting ensembles binary-classification panel-data differential-privacy gradient-boosting boosting winning-entry data-leakage machine-learning-competition societe-general classification-tree oild-production-forecast

Updated Dec 19, 2021
R

boost-R / FDboost

Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

machine-learning cran variable-selection boosting-algorithms boosting function-on-function-regression scalar-on-function-regression function-on-scalar-regression

Updated May 1, 2024
R

nunompmoniz / ReBoost

An R Package with Boosting and SMOTEBoost implementations for Regression Tasks

regression ensemble-learning boosting imbalanced-learning resampling-strategies smoteboost

Updated Sep 10, 2021
R

davpinto / master-thesis

My Master's thesis on Bayesian Classification with Regularized Gaussian Models

regularization bayes-classifier covariance-matrix gaussian-models boosting shrinkage probability-calibration

Updated Dec 27, 2015
R

mkhlgrv / investment_forecasting

Использование методов машинного обучения для прогнозирования инвестиций в России

machine-learning r time-series random-forest high-dimensional-data forecasting regularization russia boosting macroeconomics

Updated Jun 1, 2021
R

sawadogosalif / Machine_Learning_Journey

clustering classification cart linear-discriminant-analysis boosting bagging ctree c50

Updated Feb 10, 2022
R

paulinealvarado / stanford-stat-learning

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

bootstrap clustering cross-validation lasso model-selection splines logistic-regression knn principal-components quadratic-discriminant-analysis linear-discriminant-analysis boosting generalized-additive-models random-forests ridge regularization-methods tree-based-methods support-vector-machnes

Updated Oct 16, 2020
R

S-B-Iqbal / Predicting-risky-loans

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.

machine-learning r decision-tree boosting

Updated Nov 19, 2017
R

guhjy / xgboostExplainer

An R package that makes xgboost models fully interpretable

r explanation boosting

Updated Oct 7, 2017
R

vettorefburana / Claim-Frequency-Forecast

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

machine-learning neural-network forecast glm poisson-distribution boosting car-insurance claim-frequency

Updated Dec 17, 2021
R

BraulioV / Machine-Learning

Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).

machine-learning r svm machine-learning-algorithms ugr regularization perceptron trees knn linear-models aprendizaje-automatico boosting bagging

Updated Mar 24, 2017
R

ricardobreis / Classification-Algorithms-Comparison-Framingham-Heart-Study

Applying predictive models on "Framingham Heart Study" dataset.

data-science r random-forest logistic-regression decision-trees boosting classification-algorithims framingham-heart-study

Updated Oct 28, 2019
R

Baukebrenninkmeijer / Bagging-and-Boosting-for-Anomaly-Detection

This project compares multiple bagging and boosting methods for anomaly detection for the Gecco challenge.

gradient-boosting-machine boosting bagging gradient-boosted-trees gradient-boosting-decision-trees

Updated Jun 20, 2018
R

JozieWille / Decision-Trees-Bagging-and-Boosting-Appointment-Data

Decision Trees, Bagging and Boosting

rstudio decision-trees decision-tree-classifier boosting bagging baggingalgorithms

Updated Jan 9, 2023
R

iamtusharbhatia / Machine-Learning

This repository contains various assignments that I have done as a part of the Machine Learning course.

python machine-learning r tweets random-forest linear-regression naive-bayes-classifier neural-networks logistic-regression k-means decision-trees support-vector-machines jaccard-similarity knn jaccard-distance boosting bagging

Updated May 20, 2017
R

IsaiahSteinke / Heart-Disease

Work I did for a group project that built machine learning models for heart disease datasets.

machine-learning r deep-learning random-forest weka ensemble-learning decision-trees boosting

Updated Jul 14, 2022
R

suehiro93 / MILIMS_NECO

Theoretically guaranteed shapelet-learning algorithm

machine-learning boosting shapelets time-series-classification local-features multiple-instance-learning shapelet

Updated Oct 7, 2020
R

fabianmax / Boosting-Example

Quick visual example of the boosting technique for fitting arbitrary functions

r mboost boosting

Updated Dec 17, 2017
R

UrbanH80 / BarbellMovementEfficiency

Predicting barbell movement efficiency from accelerometer measurements

machine-learning tree r randomforest boosting correlelagram

Updated Sep 22, 2020
R

Improve this page

Add a description, image, and links to the boosting topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the boosting topic, visit your repo's landing page and select "manage topics."