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stacking-classifier

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

Star 22

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
  • Updated May 8, 2022
  • Jupyter Notebook

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

Star 11

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.

machine-learning eda feature-selection feature-extraction cybersecurity phishing-attacks smote oversampling f1-score lazy-classifier voting-classifier phishing-detection phishing-urls true-positive-rate true-negative-rate stacking-classifier
  • Updated Jan 12, 2024
  • Jupyter Notebook

sachin17git / Malware-detection-ML

Star 3

Android malware detection using machine learning.

python machine-learning random-forest machine-learning-algorithms feature-selection logistic-regression bayesian-inference support-vector-machines bayesian-optimization multicollinearity k-nearest-neighbours malware-detection voting-classifier shapley-values xgboost-classifier shap-values shapley-additive-explanations catboost-classifier stacking-classifier
  • Updated Nov 23, 2022
  • Jupyter Notebook

prohogiy90 / ds-model-of-the-behavior-of-the-SberAvtopodpiska-customers

Star 1

This repository contain my final projekt on the Data science Skillbox school on the topic: "Development of a machine learning algorithm to predict the behavior of customers of the "SberAvtopodpiska"

python data-science machine-learning pipeline jupyter-notebook eda imbalanced-data catboost imblearn skillbox sber lgbmclassifier histgram-gradient-boosting stacking-classifier
  • Updated Nov 17, 2022
  • Jupyter Notebook

minakdr / Car-price-prediction-using-Stacking-ensemble-modeling-technique

Star 1

This project aims to predict the selling prices of used cars based on various features such as brand, model year, mileage, and engine specifications.using-Stacking-ensemble-modeling-technique

data-science machine-learning linear-regression machine-learning-algorithms prediction data-visualization data-analysis preprocessing ensemble-machine-learning stacking-ensemble stacking-classifier
  • Updated Sep 29, 2024
  • R

RudraChatterjee / Visa-approval-prediction-EnsembleMethodsML

Star 1

This project presents a ML based solution using Ensemble methods to predict which visa applications will be approved and thus recommend a suitable profile for applicants whose visa have a high chance of approval

machine-learning exploratory-data-analysis machine-learning-algorithms data-visualization xgboost classification logistic-regression adaboost decision-trees boosting-algorithms hyperparameter-tuning gradient-boosting f1-score feature-importance ensemble-methods stacking-classifier baggingclassifier
  • Updated Mar 20, 2023
  • Jupyter Notebook

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

Star 1

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.

python machine-learning xgboost ensemble-learning diabetes adaboost ensemble-model gradient-boosting voting-classifier ensemble-classifier catboost ensemble-machine-learning colab-notebook diabetes-prediction stacking-classifier
  • Updated Sep 25, 2023
  • Jupyter Notebook

Vibhuarvind / Detection-of-Depression-Using-Late-Fusion-of-Sequential-Actigraphy-Features

Star 0

Analyzed time-series data (Depressjon) to detect depression from patient activity recorded via clinical actigraphy watches. Utilized features such as time domain, statistical metrics, and LSTM-extracted attributes.

lstm statistical-inference adaboost sleep-tracker svc time-series-analysis behavioural timedomain depression-detection featurefusion stacking-classifier votingcl latefusion
  • Updated Jun 30, 2024
  • Jupyter Notebook

alef-s / Easy_Visa

Star 0

Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.

exploratory-data-analysis data-visualization xgboost data-processing hyperparameter-tuning gradient-boosting-classifier random-forest-classifier gridsearchcv adaboost-classifier stacking-classifier customer-profiling bagging-classifier
  • Updated Sep 7, 2023
  • Jupyter Notebook

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