ensemble-classifier

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FernandoLpz /Stacking-Blending-Voting-Ensembles

Star53

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

machine-learning voting ensemble-learning ensemble-model stacking blending ensemble-classifier ensemble-machine-learning stacking-ensemble

UpdatedNov 18, 2021
Python

alicex2020 /Deep-Learning-Lie-Detection

Star53

Use machine learning models to detect lies based solely on acoustic speech information

machine-learning deep-learning ensemble-learning support-vector-machines mfcc ensemble-model pitch-tracking ensemble-classifier acoustic-features ensemble-machine-learning lie-detector mfcc-analysis

UpdatedJul 27, 2019
Jupyter Notebook

Frightera /Sample-Machine-Learning-Projects

Star38

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

natural-language-processing neural-network word2vec generative-adversarial-network autoencoder ensemble-learning transfer-learning nlp-machine-learning bert ensemble-classifier cifar-10 random-forest-classifier wordtovec probabilistic-neural-network resnet50 tensorflow-hub neural-network-from-scratch covid-19 deep-ensemble

UpdatedMay 3, 2022
Jupyter Notebook

mo26-web /Induction-Motor-Faults-Detection-with-Stacking-Ensemble-Method-and-Deep-Learning

Star26

This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.

deep-neural-networks random-forest fast-fourier-transform ensemble-learning support-vector-machine anomaly-detection ensemble-classifier fault-detection induction-motor fault-diagnosis stacking-ensemble machinery-condition-monitoring logestic-regression stacking-classifier induction-motor-fault-detection machinery-fault-dataset

UpdatedMay 8, 2022
Jupyter Notebook

indrapaul824 /Coronary-Heart-Disease-Prediction

Star26

This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project

random-forest python3 supervised-learning logistic-regression confusion-matrix resampling decision-trees feature-engineering jupyter-notebooks hyperparameter-tuning gradient-boosting-classifier knn-classification bivariate-analysis ensemble-classifier heart-disease classification-model framingham accuracy-score univariate-analysis minmaxscalar

UpdatedDec 3, 2020
Jupyter Notebook

JingweiToo /Machine-Learning-Toolbox

Star23

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

data-science random-forest naive-bayes machine-learning-algorithms cross-validation classification gaussian-mixture-models support-vector-machine confusion-matrix decision-tree linear-discriminant-analysis holdout ensemble-classifier leave-one-out-cross-validation k-nearest-neighbor

UpdatedJan 10, 2021
MATLAB

kkgadiraju /SatelliteImageClassification

Star20

Pixel based classification of satellite imagery - feature generation using Orfeo Toolbox, feature selection using Learning Vector Quantization, CLassification using Decision Tree, Neural Networks, Random Forests, KNN and Naive Bayes Classifier

pixel weka naive-bayes-classifier classification satellite-imagery knn multi-layer-perceptron ensemble-classifier

UpdatedJun 15, 2017
R

HarshShah1997 /Video-Forgery-Detection

Star14

Detection of Object-Based Forgery in Advanced Video

classifier video matlab detection extract-frames extract-features video-forgery-detection forgery ensemble-classifier residuals

UpdatedMay 7, 2017
MATLAB

IPVS-AS /pusion

Star11

Pusion (Python Universal Fusion) is a generic and flexible framework written in Python for combining multiple classifier’s decision outcomes.

ensemble-classifier ensemble-machine-learning decision-fusion fault-diagnosis hybrid-analytics autofusion auto-fusion

UpdatedMay 30, 2024
Python

gugarosa /evolutionary_ensembles

Sponsor

Star8

📄 Official implementation regarding the paper "Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification".

machine-learning paper meta-heuristic implementation ensemble-classifier aerial-scene

UpdatedOct 5, 2022
Python

kaushalshetty /Stacking

Star8

Multiple Model Ensembling

machine-learning artificial-intelligence ensemble-model stacking scikitlearn-machine-learning ensemble-classifier ensemble-stacking

UpdatedApr 4, 2017
Python

ilaydaDuratnir /python-ensemble-learning

Star8

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.

python machine-learning ensemble-learning machinelearning adaboost voting-classifier ensemble-classifier random-forest-classifier

UpdatedFeb 27, 2021
Python

laxmanbalaraman /Phishing-website-prediction

Star7

Building the best machine learning model to detect phishing websites.

classifier machine-learning phishing hybrid-model phishing-attacks ensemble-classifier

UpdatedJan 4, 2022
Jupyter Notebook

Gurudev333 /Loan_Prediction_by_ensemble_machine_learning_techniques

Star6

Used ensemble methods such as boosting, voting, Bagging

machine-learning random-forest voting boosting-algorithms bagging ensemble-classifier

UpdatedAug 13, 2018
Jupyter Notebook

secondlevel /NYCU-110-2-Natural-Language-Processing

Star6

It is the nlp task to classify empathetic dialogues datasets using RoBERTa, ERNIE-2.0 and XLNet with different preprocessing method. You can get some detailed introduction and experimental results in the link below.

natural-language-processing kaggle-competition ensemble-classifier emotion-classification roberta-model ernie-model xlnet-model

UpdatedJul 13, 2022
Python

ahmedshahriar /Customer-Churn-Prediction

Star6

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

kaggle xgboost hyperparameter-optimization scipy lightgbm binary-classification ensemble-classifier catboost pandas-python classification-models optuna customer-churn-prediction stacking-ensemble