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GitHub topics: stacked-ensembles

haghish/autoEnsemble

autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners

Language: R - Size: 945 KB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 2

reiinakano/xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Language: Python - Size: 9.03 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 1,268 - Forks: 104

Koon-Kiat/Spam-And-Phishing-Detection-Using-Machine-Learning

This project leverages advanced machine learning algorithms to detect and classify malicious emails, focusing on spam and phishing threats. As email threats grow more sophisticated, accurate detection is critical to ensuring the security and privacy of both individuals and organizations.

Language: Python - Size: 150 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 2

AlviRownok/BGPredictor

This is a solution ML program dedicated to predicting blood glucose level for the next 1 hour, using stacked ensemble model of Catboost and XGBoost. This is created as a part of a challenge called "BrisT1D Blood Glucose Prediction Competition" on Kaggle.

Language: Jupyter Notebook - Size: 983 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

benkeser/cvma

Cross-validation-based maximal associations

Language: R - Size: 170 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 3

D4pika/Fraud-ad-detection-using-Natural-language-processing

This project intends to solve the house hunt problem by sending the updates of new listings as per the selection criteria of the user by filtering spam in housing listings using NLP. It uses SMTP to send emails, nltk for NLP and tkinter for creating UI

Language: Python - Size: 7.06 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1

shawn-terryah/Twitter_Geolocation

Geolocating twitter users by the content of their tweets

Language: Python - Size: 12.8 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 75 - Forks: 43

EmilJaffal/CCFinalProject

Houses both Mathematica notebooks for my final project in my undergrad computational chemistry class

Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

bhaveshkr/Super-Learner-Classifier

Implementation of Super Learner classifier and comparison with Logistic regression, SVC and Random Forests classifier.

Language: HTML - Size: 194 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

DSkapinakis/sales-time-series-forecasting-ml-models

Sales Time Series Forecasting using Machine Learning Techniques (Random Forest, XGBoost, Stacked Ensemble Regressor)

Language: Jupyter Notebook - Size: 80.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

eltontay/Ethereum-Fraud-Detection

Detecting Fraudulent Blockchain Accounts on Ethereum with Supervised Machine Learning

Language: Jupyter Notebook - Size: 506 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4

VictorHoffmann1/ENS-Challenge-Data-Cryptocurrency-Clusters

This challenge organized by ENS Ulm and Collège de France was about predicting mean return of cluster's assets relatively to the bitcoin during the last hour of the day, given the last 23 hours.

Language: Jupyter Notebook - Size: 388 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

saminens/Predicting-Bankruptcy-of-firms

In class Kaggle competition on predicting bankruptcy of a firm

Language: Jupyter Notebook - Size: 414 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

cserajdeep/stacked-racifer10net

My own stacked CNN model architecture for CIFER10 data classification

Language: Jupyter Notebook - Size: 168 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Vishalks/Energy-Disaggregation-and-Transfer-Learning-using-Deep-Learning

This repository contains my implementation for Energy Disaggregation of appliances from mains consumption using stacked ensemble deep learning

Language: Jupyter Notebook - Size: 496 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 3

ajayarunachalam/metaEnsembleR

Intuitive Package for Heterogeneous Ensemble Meta-Learning (Classification, Regression) that is fully-automated

Language: R - Size: 502 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

jiko23/jayanta

Unbalanced data classification

Language: Python - Size: 4.05 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

emanuelegiona/FDS-Project-HousePrices

Project for Fundamentals of Data Science. Forked from https://github.com/luigiberducci/FDS-Project-HousePrices

Language: R - Size: 1000 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

imalenica/cvma Fork of benkeser/cvma

R/cvma: Cross-validation-based maximal associations

Language: R - Size: 252 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Related Keywords
stacked-ensembles 19 machine-learning 12 random-forest 4 xgboost 4 ensemble-learning 4 cross-validation 3 lightgbm 3 python 2 canonical-correlation-analysis 2 pytorch 2 multivariate-analysis 2 deep-learning 2 automated-machine-learning 2 data-science 2 imbalance-classification 2 bankruptcy-prediction 1 auc 1 data-challenge 1 imbalance 1 time-series 1 support-vector-machine 1 naive-bayes 1 multi-layer-perceptron 1 mining 1 logistic-regression 1 kaggle 1 fraud-detection 1 extreme-gradient-boosting 1 etherscan 1 ethereum 1 timeseries-forecasting 1 sklearn 1 pandas 1 numpy 1 kmeans-clustering 1 dtw-algorithm 1 sapienza-university 1 r 1 kaggle-house-prices 1 supervised-classification-methods 1 regression 1 predictive-modeling 1 meta-learning 1 heterogenous 1 generalization-error 1 ensemble-methods 1 ensemble-machine-learning 1 classification 1 automation 1 transfer-learning 1 redd 1 nilmtk 1 energy-disaggregation 1 deep-neural-networks 1 cnn-keras 1 python3 1 cifer10 1 xgboost-algorithm 1 smote 1 random-forest-classifier 1 prediction 1 machine-learning-algorithms 1 superlearner 1 pipeline 1 phishing-detection 1 outlook-addin 1 optuna 1 noise-injection 1 nltk 1 nlp 1 l1l2-regularization 1 flask 1 bert 1 scikit-learn 1 hyperparameter-optimization 1 stacking 1 stack-ensemble 1 rstats-package 1 rstats 1 metalearning 1 machinelearning 1 h2oai 1 h2o 1 ensemble 1 automl-algorithms 1 automl 1 algorithm 1 ai 1 computational-chemistry 1 computational 1 chemistry 1 twitter-streaming-api 1 twitter-geolocation 1 tweepy 1 support-vector-machines 1 natural-language-processing 1 maps 1 geolocation 1 amazon-web-services 1 ui 1