Projects in Awesome Lists tagged with bagging

https://github.com/TorchEnsemble-Community/Ensemble-Pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

bagging deep-learning deeplearning ensemble ensemble-learning gradient-boosting neural-networks pytorch pytorch-tutorial voting-classifier

Last synced: 08 May 2025

https://github.com/torchensemble-community/ensemble-pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

bagging deep-learning deeplearning ensemble ensemble-learning gradient-boosting neural-networks pytorch pytorch-tutorial voting-classifier

Last synced: 14 Dec 2025

https://github.com/vecxoz/vecstack

Python package for stacking (machine learning technique)

bagging blending ensemble ensemble-learning ensembling explain-stacking machine-learning stacked-generalization stacking stacking-tutorial

Last synced: 21 Oct 2025

https://github.com/mlr-org/mlr3pipelines

Dataflow Programming for Machine Learning in R

bagging data-science dataflow-programming ensemble-learning machine-learning mlr3 pipelines preprocessing r r-package stacking

Last synced: 01 Mar 2026

https://github.com/serengil/decision-trees-for-ml

Building Decision Trees From Scratch In Python

adaboost bagging boosting c45 cart decision-tree gbm gradient-boosting gradient-boosting-machine id3 lightgbm machine-learning random-forest regression-trees xgboost

Last synced: 04 Apr 2025

https://github.com/pierrenodet/spark-ensemble

Ensemble Learning for Apache Spark 🌲

bagging boosting ensemble-learning gbm machine-learning scala spark spark-ml stacking

Last synced: 29 Oct 2025

https://github.com/frankkramer-lab/ensmic

An analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks

augmenting bagging deep-learning ensemble-learning image-classification stacking study

Last synced: 30 Jun 2025

https://github.com/sun1638650145/classicml

简单易用的经典机器学习框架

adaboost bagging cluster cpp17 decision-tree eigen ensemble-learning framework linear-discriminant-analysis logistic-regression machine-learning naive-bayes-classifier neural-network pybind11 python support-vector-machine

Last synced: 24 Apr 2025

https://github.com/unixjunkie/orf

OCaml Random Forests

bagging bootstrap-aggregation classification machine-learning ocaml-library out-of-bag random-forests regression statistical-modeling

Last synced: 21 Aug 2025

https://github.com/hmgomes/streamingrandompatches

Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04

bagging classification concept-drift data-stream-mining data-streams datastream drift-detection ensemble ensemble-learning machine-learning-algorithms moa random-subspace-ensemble

Last synced: 24 Oct 2025

https://github.com/thieu1995/mealpy-text-classification

Text classification with Machine Learning and Mealpy

bagging cnn convolutional-neural-networks deep-learning genetic-algorithm gru hyper-parameter-tuning linear-classification lstm machine-learning mealpy meta-heuristic-algorithm naive-bayes-classifier neural-network random-forest svc-svm text-classifier

Last synced: 13 Jul 2025

https://github.com/brauliov/machine-learning

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

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

Last synced: 13 Apr 2025

https://github.com/unixjunkie/orrandomforest

OCaml wrapper to the R randomForest package

bagging classification feature-importance ocaml-library r random-forest regression

Last synced: 12 Apr 2026

https://github.com/carpentries-incubator/machine-learning-trees-python

Introduction to tree models with Python

bagging boosting boostrapping decision-tree decision-trees english ensemble-model lesson machine-learning pre-alpha prediction python tree-models trees

Last synced: 02 Sep 2025

https://github.com/gaurav0502/retina-multilabel-classification

Retina Disease Detection using Ensemble methods for Multilabel Classification

bagging biomedical-image-processing boosting deep-learning ensemble-learning image-classification multilabel-classification python stacking tensorflow

Last synced: 09 May 2026

https://github.com/forestry-labs/rforestry

bagging boosting causal-inference interpretability machine-learning monotonic-constraints r r-package random-forest random-forests trees

Last synced: 10 Apr 2025

https://github.com/seunggihong/ml-sklearn

Simple machine learning model using scikit-learn

adaboost bagging classfication decision-tree discriminant-analysis gaussian-naive-bayes gridsearchcv knn machine-learning multinomial-naive-bayes random-forest regression scikit-learn svm voting

Last synced: 08 Jul 2025

https://github.com/rahulvictor12/german-bank-loan-defaulter-prediction

A machine learning project to predict loan defaults in a German bank's customer base. Using the German Credit Risk dataset, it explores key factors contributing to defaults and trains models like Random Forest, GBM, and XGBoost. Includes EDA, data processing, hyperparameter tuning, and model evaluation.

accuracy ada-boost-classifier bagging categorical-encoding data-processing exploratory-data-analysis f1-score gbm gridsearchcv hyperparameter-tuning machine-learning missing-value-handling modelevaluation precision random-forest randomsearch-cv recall xgboost

Last synced: 06 Jun 2026

https://github.com/linggarm/ensemble-learning-comparison-on-diabetes-classification

Comparison of ensemble learning methods on diabetes disease classification with various datasets

adaboost bagging bagging-ensemble boosting boosting-ensemble cat-boost diabetes-prediction ensemble-learning ensemble-machine-learning ensemble-methods extreme-gradient-boosting gradient-boosting light-gradient-boosting-machine machine-learning python stacking stacking-ensemble

Last synced: 27 Apr 2026

https://github.com/saichandrareddy1/ensemble-learning

adaboost bagging boosting classification-algorithm ensemble-learning gridsearchcv machine machine-learning-algorithms scikitlearn-machine-learning tuning-parameters

Last synced: 29 Jul 2025

https://github.com/jaydu1/ecv

Extrapolated cross validation for randomized ensembles

bagging cross-validation ensemble-learning random-forest

Last synced: 24 Mar 2025

https://github.com/kalthommusa/udacity-intro-to-ml-with-tensorflow

This repository contains my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.

accuracy adaboost artificial-intelligence bagging cross-validation decision-tree-classifier linear-regression logistic-regression machine-learning-algorithms naive-bayes-algorithm perceptron-algorithm precision random-forest recall supervised-learning support-vector-machines tensorflow

Last synced: 03 May 2026

https://github.com/kpetridis24/machine-learning-intro

Introductory project to Linear Models, Decision Trees and Ensemble Methods

bagging data-visualization decision-trees ensemble-models linear-regression logistic-regression machine-learning random-forest scikit-learn stacking svm

Last synced: 29 May 2026

https://github.com/kmock930/drug-consumption-machine-learning-analysis

This project contains codes and paperwork based on the course CSI5155 at University of Ottawa (delivered by Professor Dr. Herna Viktor).

area-under-curve bagging boosting decision-tree ensemble-model gradient-boosting knn machine-learning ml-evaluation ml-pipeline mlp random-forest receiver-operating-characteristic semi-supervised-learning shap-analysis supervised-learning svm unsupervised-learning xai

Last synced: 29 Jul 2025

https://github.com/nikita620/phishing-website-detection-by-machine-learning-techniques

Phishing is one of the familiar attacks that trick users to access malicious content and gain their information. In terms of website interface and uniform resource locator (URL), most phishing webpages look identical to the actual webpages. Various strategies for detecting phishing websites, such as blacklist, heuristic, Etc.

bagging boosting decision-trees numpy pandas python random-forest sckiit-learn sql

Last synced: 10 Apr 2026

https://github.com/aurelienmorgan/edx-movielens

Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'

bagging caret collaborative-filtering cross-validation intel-mkl-library k-nearest-neighbors matrix-factorization microsoft-r-open pca primary-component-analysis r rcpp

Last synced: 03 Apr 2025

https://github.com/reydvires/ensemble-learning

Bagging with Naive Bayes, Machine Learning

algorithms bagging gaussian-processes lua lua-script machine-learning naive-bayes-algorithm naive-bayes-classifier telkom-university zerobrane-studio

Last synced: 04 Nov 2025

https://github.com/davityak03/ensemble-modelling

This repository contains a comprehensive guide and implementation of ensemble modeling techniques, specifically focusing on Boosting, Bagging, and Voting. Ensemble methods are powerful techniques in machine learning that combine the predictions from multiple models to improve overall performance and robustness.

adaboost bagging boosting desiciontree ensemble-model logistic-regression machine-learning-algorithms python svm voting

Last synced: 21 May 2026

https://github.com/jelhamm/model-ensembles-bagging-in-machine-learning

"This repository contains implementations of Boosting method, aimed at improving predictive performance by combining multiple models. by using titanic database."

bagging bagging-ensemble data-analysis database-analysis datamining datamining-algorithms ensemble-machine-learning ensemble-model jupyter-notebook machine-learning-models machine-learning-projects matplotlib module numpy-library pandas-library python sklearn-library

Last synced: 30 Apr 2026

https://github.com/amruta33/lead_scoring_case_study

An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

bagging linear-regression numpy pandas python3

Last synced: 05 May 2026

https://github.com/shamil-t/sentiment-analysis-using-python-imdb-

Sentiment Analysis is to find the perspective ,view ,attitude or feeling of a speaker on a particular topic, event or interactionBasicaly its the analysis of an emotionally cahrged text. Here we try to analyzethe reviewsposted by people at Imdb. Further the reviews are processed analyzed using machine learning procedures, algorithms and other related aspets.

ai bagging imdb-dataset machine-learning naive-bayes-classifier python random-forest sentiment-analysis support-vector-machines

Last synced: 12 Oct 2025

https://github.com/cserajdeep/cosine-diversity

Cosine Diversity

bagging cosine-similarity ensemble-learning machine-learning matlab

Last synced: 16 Oct 2025

https://github.com/sarahloree/project-3--credit-card-user-churn-prediction

This is the third project I completed as part of the Advanced Machine Learning module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

bagging bagging-classifier boosting boosting-classifier cross-validation datapreprocessing eda exploratory-data-analysis hyperparameter-optimization hyperparameter-tuning random-forest random-forest-classifier sampling smote

Last synced: 24 Feb 2025

https://github.com/ahmedabdalkreem/hotel-reservation

Our task is to classify a Hotel Reservation as either booking canceled (class1) or no canceled(class0) and use more one model to arrive the best model.

bagging decisiontreeclassifier ensemble extra-trees-classifier logistic-regression matplotlib numpy pandas python3 random-forest sklearn-library svc-model

Last synced: 11 Apr 2026

https://github.com/jaewonson37/data_mining

Topic: Data Analysis with Voice Dataset for Gender Recognition // Summary: Explored algorithms and found the best model that showed a 98.2% classification accuracy for a voice dataset

bagging boosting decision-tree-classifier jupyter-notebook knn-classifier logistic-regression random-forest-classifier svm-classifier svm-kernel svm-rbf voting

Last synced: 29 Mar 2025

https://github.com/abhinav330/classification-problem-using-ensambling-on-titanic-dataset

a classification problem using ensemble methods on the Titanic dataset.

adaboost bagging bernoulli-naive-bayes ensamble-methods extratreesclassifier knn-classification random-forest-classifier svm-classifier titanic-kaggle

Last synced: 08 Aug 2025

https://github.com/mohammad95labbaf/churn-prediction

This project aims to predict customer churn using machine learning algorithms. The project includes data preprocessing, feature engineering, and model evaluation.

adaboost bagging churn churn-analysis churn-prediction decisiontree ensemble-learning knn randomforest scikit-learn sklearn svm voting