majority-voting

There are 0 repository under majority-voting topic.

bismex / RFM
[TIFS 2019] Skeleton-based Gait Recognition via Robust Frame-level Matching (RFM)
gait-recognition skeleton-based skeleton model-based linear-matching tifs frame-level frame-level-matching 3d-points pose-estimation biometric gait upcvgait sdugait cilgait matlab identification gait-analysis two-stage majority-voting
Language:MATLAB 23
Sanjana7395 / Grape-disease-classification
This project classifies diseases in grape plant using various Machine Learning classification algorithms.
ensemble-models majority-voting cnn augment-data random-forest svm stacked-prediction vgg16
Language:Python 20
shreyamalogi / Credit-Card-Fraud-Detection-System
A Credit Card Fraud Detection System using Adaboost and Majority Voting, designed to identify fraudulent credit card transactions by combining the strength of multiple classifiers.
adaboost ensemble-learning majority-voting python scikit-learn
Language:Java 3
andrewrays / soft-voting-demo
Application for soft voting algorithm demonstration
majority-voting model signals-management simulink soft-voting
Language:MATLAB 2
HeinDuijf / MajorityVotingCollectiveAccuracy
I use an agent-based model to explore the impact of imperfect competence and social influence on majority voting. This repository contains the code for an agent-based model and simulations of majority voting, for producing some figures, and for a statistical analysis.
majority-voting agent-based-modeling simulation statistics voting
Language:HTML 2
Inspirateur / majority
Rust crate to manage majority judgment polls
crate majority-judgment majority-voting rust vote
Language:Rust
JalalQ / 4045-Classification-Anaconda
Worked on a classification analysis (class imbalance) for a business problem. Analysis was done using Anaconda Python.
anaconda python classification machine-learning majority-voting
Language:Jupyter Notebook
Kshitij14397 / Credit-Card-Fraud-Detection-using-Hybrid-Model
We have developed a Hybrid Model which consists of Random Forest, K-Nearest Neighbors, and Artificial Neural Network Algorithms using the Majority Voting Approach for detecting frauds in Credit Cards effectively and efficiently🙂.
randomforestclassifier knn-classifier artificial-neural-network majority-voting
Language:Jupyter Notebook
somjit101 / NLP-CaseStudy-Personalized-Cancer-Diagnosis
In this problem statement, a sequence of genetic mutations and clinical evidences, i.e. descriptive texts as recorded by domain experts are used to classify the mutations to conclusive categories, to be used for diagnosis of the patient.
nlp natural-language-processing nlp-machine-learning cancer-diagnosis naive-bayes-classifier multinomial-naive-bayes k-nearest-neighbours logistic-regression linear-svm svm-classifier random-forest-classifier ensemble-learning ensemble-model majority-voting stacking-ensemble hyperparameter-tuning model-calibration response-coding text-processing
Language:Jupyter Notebook

majority-voting

bismex / RFM

Sanjana7395 / Grape-disease-classification

shreyamalogi / Credit-Card-Fraud-Detection-System

andrewrays / soft-voting-demo

HeinDuijf / MajorityVotingCollectiveAccuracy

Inspirateur / majority

JalalQ / 4045-Classification-Anaconda

Kshitij14397 / Credit-Card-Fraud-Detection-using-Hybrid-Model

somjit101 / NLP-CaseStudy-Personalized-Cancer-Diagnosis