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GitHub topics: stacking-classifier

Aliakbar-omidi/Brain-Tumor-Detection

This project focuses on detecting and classifying brain tumors (NonDemented, Very Mild Demented, Mild Demented, Moderate Demented)

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

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

Language: R - Size: 412 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

TanayBhadula/phishing-website-detection

A web application to predicted whether a URL/Website is phishing or not by extracting its lexical features.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

Timeless-zfqi/AS-DMF-framework

AS-DMF framework guide

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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.

Language: Jupyter Notebook - Size: 114 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

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

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.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Keerthiga-Sekar/-Predicting-Employees-Preferred-Mode-of-Transport-

Analyze the data of ABC consulting company, build a predictive model based on the parameters like age, salary, work experience and predict the preferred mode of transport.

Language: Jupyter Notebook - Size: 436 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

PulkitGigoo99/Cardiovascular_Disease_Prediction

A Machine Learning project for Cardiovascular disease prediction

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

mohit01-10/Alzheimer-s-Disease-Classification-using-Stacking-Ensembling

This project is dedicated to accurately classify Alzheimer's disease into Demented, Non-demented and Converted Category.

Language: Python - Size: 3.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

psavarmattas/Stroke-Prediction-ML-Model

This is just a theoretical Machine Learning Model that will analyze the data and determine where the stroke can occur.

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

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.

Language: Jupyter Notebook - Size: 917 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 2

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.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

MsTao-68/Debt-Churn-Data-Analysis

使用比赛方提供的脱敏数据,进行客户信贷流失预测。

Language: Jupyter Notebook - Size: 15 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

devpatel0612/Personalized-Cancer-Diagnosis

Using classical machine learning techniques for classifying the data into 9 classes which can be further used for cancer detection.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nevermorerr/Crypto-Staking-Bot

Crypto Stacking Bot

Size: 1000 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 0

Yemi-Ak/Ensemble-Techniques-EasyVisa

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.

Language: Jupyter Notebook - Size: 945 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

akthammomani/Credit_Risk_Classification

Classification Modeling: Probability of Default

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

R-Madhuram/UC-BerkeleyCapstone_CreditCardFraudDetection

Detecting and Identifying Fraudulent credit card transactions from normal transactions.

Language: Jupyter Notebook - Size: 42.2 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

shivtosh/ensemble-learning

This repository includes the implementation of stacking individual ML models Random forests as an ensemble techniques.

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

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"

Language: Jupyter Notebook - Size: 5.36 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

sachin17git/Malware-detection-ML

Android malware detection using machine learning.

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linzhenyuyuchen/multiple-model-stacking

Code of model stacking for Kaggle Competition

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

maede43/ensemble-learning-lfw

Final Project Of Computational Intelligence - Fall 2021 - LightGBM, RandomForest and StackingClassifier

Language: Jupyter Notebook - Size: 40.5 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

Related Keywords
stacking-classifier 23 machine-learning 10 python 8 random-forest 5 stacking-ensemble 5 eda 5 voting-classifier 5 xgboost 5 logistic-regression 4 classification 4 data-science 4 scikit-learn 3 ensemble-machine-learning 3 ensemble-classifier 3 feature-selection 3 svm-classifier 3 random-forest-classifier 3 xgboost-classifier 2 phishing-detection 2 hyperparameter-tuning 2 adaboost 2 knn-classification 2 smote 2 catboost 2 machine-learning-algorithms 2 matplotlib 2 datapreprocessing 2 optuna 2 stacking 2 gradient-boosting 2 seaborn 2 ensemble-learning 2 svc 2 cryptocurrency 1 cryptocurrencies 1 stacking-algorithm 1 stacking-panels 1 stacking-sats 1 stacking-window-manager 1 stackingregressor 1 staking 1 staking-contract 1 lazy-classifier 1 oversampling 1 phishing-attacks 1 phishing-urls 1 true-negative-rate 1 true-positive-rate 1 ann 1 autogluon 1 lightgbm 1 smote-oversampler 1 smote-sampling 1 stratified-cross-validation 1 stratified-sampling 1 tabnet 1 xgboost-model 1 maximum 1 naive-bayes-classifier 1 crypto 1 crypto-staking 1 cryptocoins 1 lgbmclassifier 1 pipeline 1 sber 1 skillbox 1 bayesian-inference 1 bayesian-optimization 1 catboost-classifier 1 k-nearest-neighbours 1 malware-detection 1 multicollinearity 1 shap-values 1 shapley-additive-explanations 1 shapley-values 1 support-vector-machines 1 lfw-dataset 1 lightgbm-classifier 1 randomforestclassifier 1 vggface 1 staking-farms 1 staking-nft 1 staking-pools 1 bagging-ensemble 1 boosting-ensemble 1 customerprofiles 1 gradient-boosting-classifier 1 gridsearchcv 1 catboost-encoding 1 credit-risk 1 logistic-regression-classifier 1 auto-ml 1 pycaret-library 1 sklearn-metrics 1 histgram-gradient-boosting 1 imbalanced-data 1 imblearn 1 jupyter-notebook 1 accuracy-score 1 pandas 1