voting-classifier

There are 0 repository under voting-classifier topic.

TorchEnsemble-Community / Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
pytorch pytorch-tutorial ensemble-learning ensemble deeplearning neural-networks deep-learning gradient-boosting voting-classifier bagging
Language:Python 1037
shapley
benedekrozemberczki / shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
shapley shapley-value owen voting-classifier machine-learning classifier random-forest random-forest-classifier explainable-ml explainable-ai ensemble ensemble-learning deep-learning voting-game game-theory game-theory-toolbox weighted-voting-games
Language:Python 220
nerminsamet / houghnet
[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
2d-pose-estimation 3d-object-detection bottom-up-model coco-dataset deep-learning eccv eccv-2020 hough hough-transform hough-transformation human-pose-estimation instance-segmentation kitti-dataset object-detection pose-estimation pytorch video-object-detection video-object-tracking voting voting-classifier
Language:Python 178
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-segmentation customer-analytics e-commerce-example machine-learning-algorithms voting-classifier predictive-analytics
Language:Jupyter Notebook 136
Architectshwet / Loan-prediction-using-Machine-Learning-and-Python
To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and matplotlib
xgboost grid-search machine-learning scikit-learn pandas seaborn matplotlib voting-classifier
Language:Jupyter Notebook 47
RoccoJay / Audio_to_Emotion
Classifying Audio to Emotion
optuna ravdess emotion audio speech song emotion-recognition python xgboost lgbm mlp-classifier voting-classifier speech-emotion-recognition
Language:Jupyter Notebook 28
Hashehri / Network-Traffic-Classification-UNSW-NB15
Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.
machine-learning deep-learning network-analysis network-security ai sklearn xgboost-algorithm random-forest knn-classification decsion-tree pickle logistic-regression voting-classifier stacking-ensemble python3 classification-algorithims
Language:Jupyter Notebook 26
thefirebanks / Ensemble-Learning-for-Tweet-Classification-of-Hate-Speech-and-Offensive-Language
Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting
classification tweet-classifier offensive-language hatespeech tweets lexicon logistic-regression voting-classifier sgd-classifier python sklearn ensemble-learning neural-network lstm-neural-networks text-classification tensorflow
Language:Python 23
xndien2004 / Multimodal-Sarcasm-Detection-for-UITC2024
The Multimodal Sarcasm Detection System detects sarcasm in multimedia content using image-caption generation and NLP. It achieved 1st place in UITC2024 by classifying sarcasm into four categories: image, text, multi sarcasm, and not sarcasm.
deep-learning multimodal tensorflow torch transformer voting-classifier
Language:Jupyter Notebook 21
RimTouny / Phishing-Attack-Detection-using-Machine-Learning
Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.
cybersecurity eda machine-learning phishing-attacks phishing-detection phishing-urls f1-score feature-extraction feature-selection lazy-classifier oversampling smote stacking-classifier true-negative-rate true-positive-rate voting-classifier
Language:Jupyter Notebook 16
alifrmf / Mobile-Price-Prediction-Classification-Analysis
Supervised Machine Learning Analysis Using Classification Models
adaboost bagging-ensemble boosting-ensemble classification data-science decision-trees ensemble-learning gradient-boosting hyperparameter-optimization machine-learning-algorithms python random-forest supervised-learning svm voting-classifier xgboost pruning-optimization exploratory-data-analysis preprocessing mobile-price-prediction
Language:Jupyter Notebook 15
raj1603chdry / Fake-News-Detection-System
Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.
svm-classifier logistic-regression random-forest naive-bayes-classifier pipeline gridsearchcv voting-classifier custom-transformer tfidf-vectorizer count-vectorizer word-cloud nltk scikit-learn pos-tagging data-preprocessing machine-learning fake-news pattern-library
Language:Jupyter Notebook 13
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 network-intrusion-detection nsl-kdd one-hot-encoding principal-component-analysis random-forest recursive-feature-elimination svm voting-classifier xgboost matplotlib python sklearn
10
sharmaroshan / Titanic-Passenger-Survival-Prediction
Using Classification Techniques, Data reprocessing, Feature Engineering, Feature Extraction and Classification Algorithms from Machine Learning to Predict who can Survive the attack of Tsunami.
machine-learning classification feature-engineering feature-selection data-cleaning data-science voting-classifier modelling boosting cross-validation evaluation-metrics data-analysis data-visualization
Language:Jupyter Notebook 9
bagheri365 / ML-Models-for-Classification
Tour of Machine Learning Algorithms for Binary/Multiclass Classification
binary-classification multiclass-classification logistic-regression k-nn naive-bayes svm linear-svm rbf-svm decision-tree random-forest quadratic-discriminant-analysis voting-classifier multi-layer-perceptron
Language:Jupyter Notebook 8
ilaydaDuratnir / python-ensemble-learning
In this project, the success results obtained from SVM, KNN and Decision Tree Classifier algorithms using the data we have created and the results obtained from the ensemble learning methods Random Forest Classifier, AdaBoost and Voting were compared.
ensemble-learning ensemble-classifier machinelearning machine-learning python adaboost voting-classifier random-forest-classifier
Language:Python 8
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
Language:Jupyter Notebook 6
RadhikaRanasinghe / Meraki
A mobile application that diagnoses Parkinson’s disease patients using hand drawings
python3 flask mysql aws aws-lambda flutter machine-learning voting-classifier knn-classification svm-classifier naive-bayes-classifier linear-discriminant-analysis logistic-regression random-forest cpp
Language:Python 6
amex-default-classification
awinml / amex-default-classification
Classification model to predict the probability that a customer defaults based on their monthly customer statements using the data provided by American Express.
classification default-prediction lightgbm randomsearch-cv voting-classifier xgboost
Language:Jupyter Notebook 5
Spidy104 / PPG_DIABETES_CLASSIFICATION
This repository provides a complete pipeline for non-invasive blood glucose estimation using Photoplethysmography (PPG) signals. It includes data preprocessing, feature extraction, machine learning model training, and result visualization to support research and development in biomedical signal analysis and diabetes screening.
ml rfid signal-processing stacking-classifier svm voting-classifier
Language:Jupyter Notebook 5
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
Language:Jupyter Notebook 4
ayomidee-e / email-classification
A machine learning model that predicts whether an email is spam or not.
python email-classification logistic-regression naive-bayes nlp-machine-learning tf-idf voting-classifier
Language:Python 4
bhattbhavesh91 / voting_classifier_sklearn
A simple demo on how voting classifier is implemented in sklearn python
voting-classifier python
Language:Jupyter Notebook 4
brian-kipkoech-tanui / binaryclassification
Classification
adaboostclassifier classification-algorithm ensemble-model gradient-boosting-classifier random-forest svm voting-classifier xgboost-classifier
Language:Jupyter Notebook 4
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
Language:Jupyter Notebook 4
Jspano95 / Retail-Customer-Classification-Modelling
Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department
classification-models xgboost-classification logistic-regression-algorithm decision-tree-classifier random-forest-classifier knearest-neighbor-classification support-vector-classifier voting-classifier customer-segmentation feature-engineering consumer-insights
Language:Jupyter Notebook 3
Naghan1132 / Comparison-of-winners-of-elections-with-different-voting-methods
Compare the results of different voting methods
condorcet condorcet-methods election-analysis voting voting-application voting-classifier borda python visualization
Language:Jupyter Notebook 3
Teen-Techies / Email-Spam-Filter
This project implements an NLP-based solution for filtering out e-mails as ham or spam.
ham spam spamfilter bag-of-words scikit-learn scikitlearn-machine-learning machine-learning nlp natural-language-processing python bow svm-classifier decision-tree-classifier sgd-classifier knn-classifier naive-bayes-classifier voting-classifier confusion-matrix feature-extraction nltk-python
Language:Jupyter Notebook 3
abduliante / vehicle-default-loan-prediction
Forecasting the likelihood of a customer defaulting their auto loan using classification models
classification python lasso-regression feature-engineering feature-selection variance-inflation-factor logistic-regression knn-classification xgboost-classifier gridsearchcv voting-classifier
Language:Python 2
AliMufeed / Bank_Loan_term_prediction
Classification Project for SDAIA T5 Data Science Bootcamp. This project will choose the best classification model to predict whether a loan is a short-term loan or a long-term loan, based on some features.
data-science data-analysis classification logistic-regression decision-tree-classifier random-forest-classifier naive-bayes-classifier xgboost pickle knn-classification adaboostclassifier stochastic-gradient-descent voting-classifier machine-learning
Language:Jupyter Notebook 2
Bless1004 / Capstone_Projects_ML
1. Diabetes Prediction Using Ensemble Techniques 2. Customer Segmentation Using RFM & K-Means 3. Market Basket Analysis
hyperparameter-tuning k-means-clustering rfm-analysis voting-classifier apriori association-rules marketbasketanalysis
Language:Jupyter Notebook 2
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 random-forest support-vector-machines svm voting-classifier python vscode
Language:HTML 2
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
Language:Jupyter Notebook 2
KUANCHENGFU / Pitch-Type-Prediction
python lightgbm bayesian-optimization smote voting-classifier baseball
Language:Jupyter Notebook 2
Kunal-Attri / Iris-Species-Classification
Iris Species Classification usin various ML models.
adaboost-classifier decision-tree extra-trees-classifier gradient-boosted-trees iris-dataset knn-classifier linear-svm naive-bayes-classifier random-forest rbf-svm voting-classifier
Language:Jupyter Notebook 2
sachin17git / Malware-detection-ML
Android malware detection using machine learning.
bayesian-inference bayesian-optimization feature-selection machine-learning machine-learning-algorithms malware-detection multicollinearity python random-forest shap-values shapley-additive-explanations shapley-values stacking-classifier voting-classifier catboost-classifier k-nearest-neighbours logistic-regression support-vector-machines xgboost-classifier
Language:Jupyter Notebook 2

voting-classifier

TorchEnsemble-Community / Ensemble-Pytorch

benedekrozemberczki / shapley

nerminsamet / houghnet

jalajthanaki / Customer_segmentation

Architectshwet / Loan-prediction-using-Machine-Learning-and-Python

RoccoJay / Audio_to_Emotion

Hashehri / Network-Traffic-Classification-UNSW-NB15

thefirebanks / Ensemble-Learning-for-Tweet-Classification-of-Hate-Speech-and-Offensive-Language

xndien2004 / Multimodal-Sarcasm-Detection-for-UITC2024

RimTouny / Phishing-Attack-Detection-using-Machine-Learning

alifrmf / Mobile-Price-Prediction-Classification-Analysis

raj1603chdry / Fake-News-Detection-System

imharshag / NIDS-using-ML

sharmaroshan / Titanic-Passenger-Survival-Prediction

bagheri365 / ML-Models-for-Classification

ilaydaDuratnir / python-ensemble-learning

nano-bot01 / Heart-Disease-Prediction-using-machine-and-deep-learning-techniques

RadhikaRanasinghe / Meraki

awinml / amex-default-classification

Spidy104 / PPG_DIABETES_CLASSIFICATION

AstraBert / resistML

ayomidee-e / email-classification

bhattbhavesh91 / voting_classifier_sklearn

brian-kipkoech-tanui / binaryclassification

Pythondeveloper6 / Ensemble-learning-beginner-guide

Jspano95 / Retail-Customer-Classification-Modelling

Naghan1132 / Comparison-of-winners-of-elections-with-different-voting-methods

Teen-Techies / Email-Spam-Filter

abduliante / vehicle-default-loan-prediction

AliMufeed / Bank_Loan_term_prediction

Bless1004 / Capstone_Projects_ML

fatimaAfzaal / Diabetes-Prediction-Web-App

fatimaAfzaal / Multiple-Ensemble-models-Diabetes-Prediction-Project-

KUANCHENGFU / Pitch-Type-Prediction

Kunal-Attri / Iris-Species-Classification

sachin17git / Malware-detection-ML