Projects in Awesome Lists tagged with voting-classifier

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/benedekrozemberczki/shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

classifier deep-learning ensemble ensemble-learning explainable-ai explainable-ml game-theory game-theory-toolbox machine-learning owen random-forest random-forest-classifier shapley shapley-value voting-classifier voting-game weighted-voting-games

Last synced: 05 Apr 2025

https://github.com/jalajthanaki/customer_segmentation

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

customer-analytics customer-segmentation e-commerce-example machine-learning-algorithms predictive-analytics voting-classifier

Last synced: 11 Sep 2025

https://github.com/imharshag/nids-using-ml

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats

datamining ensemble-learning gaussian-naive-bayes knn label-encoding matplotlib network-intrusion-detection nsl-kdd one-hot-encoding principal-component-analysis python random-forest recursive-feature-elimination sklearn svm voting-classifier xgboost

Last synced: 23 Apr 2025

https://github.com/nano-bot01/heart-disease-prediction-using-machine-and-deep-learning-techniques

Heart Disease Prediction using machine and deep learning techniques works on heart dataset

classification collage-project deep-learning ensemble-learning heart-disease heart-disease-prediction machine-learning pickle-file spyder spyder-python-ide streamlit streamlit-webapp voting-classifier webpage

Last synced: 12 May 2025

https://github.com/bhattbhavesh91/voting_classifier_sklearn

A simple demo on how voting classifier is implemented in sklearn python

python voting-classifier

Last synced: 04 May 2026

https://github.com/pythondeveloper6/ensemble-learning-beginner-guide

machine learning ensemble learning types in easy steps with examples

bagging-ensemble decision-trees ensemble-learning knn-classification logistic-regression machine-learning numpy random-forest stacking-ensemble svc voting-classifier

Last synced: 30 Jun 2025

https://github.com/astrabert/resistml

A tool for AMR gene family prediction, simple and ML-based

ai antibiotic-resistance bert-model finetuning healthcare machine-learning protein-sequences text-classification voting-classifier

Last synced: 16 Aug 2025

https://github.com/naghan1132/comparison-of-winners-of-elections-with-different-voting-methods

Compare the results of different voting methods

borda condorcet condorcet-methods election-analysis python visualization voting voting-application voting-classifier

Last synced: 29 Apr 2026

https://github.com/fatimaafzaal/diabetes-prediction-web-app

This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.

diabetes diabetes-prediction ensemble-classifier ensemble-learning ensemble-model flask flask-application logistic-regression machine-learning python random-forest support-vector-machines svm voting-classifier vscode

Last synced: 20 May 2026

https://github.com/fatimaafzaal/multiple-ensemble-models-diabetes-prediction-project-

This project focuses on predicting the likelihood of diabetes in individuals using ensemble machine learning models. It combines various ensemble techniques, including Random Forest, AdaBoost, Gradient Boosting, Bagging, Extra Trees, XGBoost, Voting Classifier and some others to get predictions.

adaboost catboost colab-notebook diabetes diabetes-prediction ensemble-classifier ensemble-learning ensemble-machine-learning ensemble-model gradient-boosting machine-learning python stacking-classifier voting-classifier xgboost

Last synced: 18 Apr 2026

https://github.com/anvesham/predicting_customer_churn_neural_network

A Comparative Study in Customer Churn Prediction through Multilayer Perceptrons and Support Vector Machines

multilayer-perceptron python pytorch roc-curve sklearn-library smoteenn support-vector-machine voting-classifier

Last synced: 31 May 2026

https://github.com/astrabert/virbicla

A novel ML-based binary classifier to tell viral and non-viral long reads apart in metagenomic samples.

binary-classifier biodiversity dna genomics healthcare long-read-sequencing machine-learning metagenomics microbiology oxford-nanopore virome viromics virus voting-classifier

Last synced: 25 Jun 2025

https://github.com/04bhavyaa/movie-genre-prediction

This project implements preprocessing, feature engineering, and multiple machine learning models to build a robust genre classification system.

ensemble-model fine-tuning genre-prediction lemmatization linear-svc logistic-regression minmaxscaling nltk-library streamlit voting-classifier

Last synced: 11 May 2026

https://github.com/ash0508/amazon_ml_summer_school_loan-prediction

I have experience in Supervised, Reinforcement, and Unsupervised Learning, with a focus on a loan prediction project using a Kaggle dataset. I trained and tested the model, achieving high accuracy through Python programming with Pandas, NumPy, and Matplotlib for data analysis and visualization. My primary development environment is Jupyter Notebook

grid-search machine-learning matplotlib pandas sckiit-learn seaborn voting-classifier xgboost

Last synced: 16 May 2026

https://github.com/snigdho8869/diabetes-prediction-using-ml-dl

This repository contains machine learning and deep learning models for predicting the onset of diabetes in patients. The models used include Logistic Regression, SVM, Random Forest, Ensemble Learning, Adaptive Boosting, and Deep Neural Networks. The performance of the models is compared, and the best performing model is identified.

adaboost boosting-algorithms deep-neural-networks dl ensemble-classifier ensemble-learning ensemble-machine-learning gradient-boosting keras-tensorflow logistic-regression machine-learning ml random-forest random-forest-classifier support-vector-machine svm voting-classifier

Last synced: 18 Jun 2025

https://github.com/ahmedabdalkreem/diabetes

Complete project of people that have diabetes and show what features that explain that person be sick.

bagging-ensemble classification descision-tree ensemble logistic-regression matplotlib numpy pandas python3 sklearn svm voting-classifier

Last synced: 05 Apr 2026

https://github.com/sayande01/ensemble_learning_ml

This project investigates ensemble learning techniques, combining multiple models to enhance accuracy and robustness. It covers both basic methods (Max Voting, Averaging, Weighted Averaging) and advanced techniques (Stacking, Blending, Bagging, Boosting), aiming to improve predictive performance by addressing model weaknesses.

ensemble-learning voting-classifier voting-regressor

Last synced: 06 Apr 2025

https://github.com/mehrab-kalantari/sms-spam-classifier

Building spam classifier using different algorithms and choosing the best one to build a streamlit application

classification english-nlp imbalanced-learning machine-learning nlp streamlit supervised-learning voting-classifier

Last synced: 09 May 2026

https://github.com/singhxtushar/spamslayer

This Project Predicts whether the Email/SMS is spam or ham by using the extensive knowledge of NLP and various ML Algorithms. Deployed on Streamlit & Herokuapp

end-to-end herokuapp naive-bayes-classifier sms-spam-detection streamlit svc-model voting-classifier

Last synced: 12 Nov 2025

https://github.com/mohamedlotfy989/credit-card-fraud-detection

This repository focuses on credit card fraud detection using machine learning models, addressing class imbalance with SMOTE & undersampling, and optimizing performance via Grid Search & RandomizedSearchCV. It explores Logistic Regression, Random Forest, Voting Classifier, and XGBoost. balancing precision-recall trade-offs for fraud detection.

classic-machine-learning credit-card-fraud ensemble-learning fraud-detection grid-search-hyperparameters hyperparameter-tuning imbalanced-data logistic-regression precision-recall random-forest randomizedsearchcv smote threshold-tuning undersampling voting-classifier xgboost