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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

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

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

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

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

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

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

sawadogosalif / Machine_Learning_Journey

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

Updated Feb 10, 2022
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

treeforestboost

nickkunz / treeforestboost

Classification Trees, Random Forest, Boosting | Columbia Business School

machine-learning random-forest classification trees boosted-trees boosting boosted-decision-trees boosted-classification

Updated Jul 12, 2019
R

schalkdaniel / dsCWB

Distributed component-wise boosting using DataSHIELD

machine-learning r distributed-computing boosting datashield

Updated Dec 1, 2022
R

Aviator10 / Predicting-Employee-TransportMode

Predict whether or not an employee will use Car as a mode of transport from given employee information about their mode of transport as well as their personal and professional details like age, salary, work exp. Also, which variables are a significant predictor behind this decision?

machine-learning naive-bayes logistic-regression predictive-modeling knn smote boosting bagging

Updated Apr 16, 2020
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

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

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

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

shoaib555 / Taiwan-Credit-Card-Default

A data set of 30000 records and 24 variables containing information on defaults, demographic factors, credit data, delinquency, repayment and billed amounts of a credit card client in Taiwan from April 2005 to September 2005. The objective was to apply statistical, data visualization and Machine learning techniques (supervised and unsupervised) …

random-forest eda logistic-regression cart ann knn boosting bagging

Updated Feb 22, 2021
R

Yoris95 / Classification-of-Obesity-Status-in-Indonesia-Using-XGBoost-and-ADASYN-N-Method

Classification of Obesity Status in Indonesia Using XGBoost & ADASYN-N Method

machine-learning rstudio feature-selection xgboost decision-tree boosting obesity adasyn ensemble-machine-learning

Updated Apr 17, 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

guhjy / xgboostExplainer

An R package that makes xgboost models fully interpretable

r explanation boosting

Updated Oct 7, 2017
R

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