stacked-ensembles

There are 0 repository under stacked-ensembles topic.

xcessiv
reiinakano / xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
machine-learning ensemble-learning stacked-ensembles scikit-learn data-science hyperparameter-optimization automated-machine-learning
Language:Python 1266
shawn-terryah / Twitter_Geolocation
Geolocating twitter users by the content of their tweets
tweepy twitter-geolocation natural-language-processing stacked-ensembles geolocation twitter-streaming-api support-vector-machines random-forest maps amazon-web-services
Language:Python 79
eltontay / Ethereum-Fraud-Detection
Detecting Fraudulent Blockchain Accounts on Ethereum with Supervised Machine Learning
ethereum etherscan extreme-gradient-boosting fraud-detection kaggle lightgbm logistic-regression machine-learning mining multi-layer-perceptron naive-bayes random-forest stacked-ensembles support-vector-machine time-series
Language:Jupyter Notebook 19
AGARNER18 / Respiratory-Mortality
Predict respiratory patient mortality in ICU units using the MIMIC III database
mimic-iii r sql stacked-ensembles xgboost random-forest ranger support-vector-machines rpart neural-network decision-trees postgresql
Language:R 10
kessysalvatory / CoMoMo
CoMoMo combines multiple mortality forecasts using different model combinations. See more from the paper here https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3823511
mortality-forecasting stacked-ensembles rstudio cross-validation combination human-mortality-database longevity model-uncertainty age-period-cohort-models
Language:R 8
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.
data-challenge lightgbm machine-learning stacked-ensembles xgboost
Language:Jupyter Notebook 7
haghish / autoEnsemble
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
ai algorithm automl automl-algorithms ensemble ensemble-learning machine-learning machinelearning metalearning stack-ensemble stacking h2o h2oai rstats rstats-package automated-machine-learning stacked-ensembles
Language:R 5
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
ui tkinter smtp nlp-machine-learning stacked-ensembles fraud housing-listings craigslist regular-expression
Language:Python 4
MCoffey1129 / Utilising-Machine-Learning-for-portfolio-selection-with-the-aim-of-out-performing-Benchmark-Indices
Utilizing Machine Learning for portfolio selection with the aim of out-performing benchmark indices
machine-learning stock-price-prediction portfolio-analysis random-forest stacked-ensembles xgboost catboost-model neural-networks
Language:Python 3
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
cnn-keras deep-learning deep-neural-networks energy-disaggregation machine-learning nilmtk redd stacked-ensembles transfer-learning
Language:Jupyter Notebook 3
BartBoerman / classify-passenger-survival-titanic-h2o
This my entry for the Titanic competition on Kaggle. May 2019: public score is 0.80382, which is a top 10% ranking on the leader board of around 11.249 participants.
h2o onehot-encoder gbm random-forest data-wrangling python stacked-ensembles impute pandas kaggle-titanic classification feature-engineering
Language:Python 2
benkeser / cvma
Cross-validation-based maximal associations
multivariate-analysis canonical-correlation-analysis stacked-ensembles machine-learning cross-validation
Language:R 2
SamdenLepcha / Predict-Market-Competitiveness-For-Insurance-Products
This repository contains the approach that led us to win the MLDS Republic Day Hackathon.
analytics machine-learning stacked-ensembles data-visualization
Language:Jupyter Notebook 2
saminens / Predicting-Bankruptcy-of-firms
In class Kaggle competition on predicting bankruptcy of a firm
random-forest-classifier xgboost-algorithm lightgbm stacked-ensembles smote auc machine-learning random-forest xgboost imbalance-classification imbalance machine-learning-algorithms python bankruptcy-prediction prediction
Language:Jupyter Notebook 2
snyamson / Loan-Default-Prediction-Machine-Learning
Develop Machine Learning model to predict customer loan defaults, enhancing lending risk assessment. Real-world relevance tackling financial uncertainty. #The Analytics Olympiad 2023
class-imbalance-problem multi-label-classification stacked-ensembles supervised-machine-learning
Language:Jupyter Notebook 2
YotamFY / GraphEnsemble
Create an arbitrary graph of models and meta-models to form an ensemble. This can be viewed as a generalisation of stacking ensembles.
machine-learning ensemble-learning meta-model stacked-ensembles ensemble ensemble-model ensemble-stacking
Language:Python 2
sales-time-series-forecasting-ml-models
DSkapinakis / sales-time-series-forecasting-ml-models
Sales Time Series Forecasting using Machine Learning Techniques (Random Forest, XGBoost, Stacked Ensemble Regressor)
dtw-algorithm kmeans-clustering machine-learning numpy pandas random-forest sklearn stacked-ensembles timeseries-forecasting xgboost
Language:Jupyter Notebook 1
bhaveshkr / Super-Learner-Classifier
Implementation of Super Learner classifier and comparison with Logistic regression, SVC and Random Forests classifier.
stacked-ensembles superlearner
Language:HTML 0
jiko23 / jayanta
Unbalanced data classification
imbalance-classification stacked-ensembles supervised-classification-methods
Language:Python 0
Raisin-Grain-Prediction-Using-a-StackedEnsembleModel
Kimchi21 / Raisin-Grain-Prediction-Using-a-StackedEnsembleModel
A stacked ensemble model for predicting raisin grains
confusion-matrix hyperparameter-tuning modeling raisin random-forest-classifier stacked-ensembles xgboost-classifier machine-learning
Language:Jupyter Notebook 0
nezamtrm / pneumonia_detection
classification densenet inception mobilenet pneumonia-classification pneumonia-detection pretrained-models stacked-ensembles vgg16
Language:Jupyter Notebook 0
ajayarunachalam / metaEnsembleR
Intuitive Package for Heterogeneous Ensemble Meta-Learning (Classification, Regression) that is fully-automated
meta-learning ensemble-machine-learning generalization-error stacked-ensembles classification regression heterogenous ensemble-methods automation predictive-modeling
Language:R
cserajdeep / stacked-racifer10net
My own stacked CNN model architecture for CIFER10 data classification
ensemble-learning stacked-ensembles machine-learning deep-learning cifer10 python python3 pytorch
Language:Jupyter Notebook
emanuelegiona / FDS-Project-HousePrices
Project for Fundamentals of Data Science. Forked from https://github.com/luigiberducci/FDS-Project-HousePrices
r data-science kaggle-house-prices stacked-ensembles sapienza-university
Language:R
imalenica / cvma
R/cvma: Cross-validation-based maximal associations
cross-validation canonical-correlation-analysis multivariate-analysis stacked-ensembles machine-learning
Language:R
MCoffey1129 / Stacked_Models
Python code for stacking models, includes extracting model probabilities and assessing misclassified cases
machine-learning python knn-classification random-forest xgboost catboost stacked-ensembles
Language:Python

stacked-ensembles

reiinakano / xcessiv

shawn-terryah / Twitter_Geolocation

eltontay / Ethereum-Fraud-Detection

AGARNER18 / Respiratory-Mortality

kessysalvatory / CoMoMo

VictorHoffmann1 / ENS-Challenge-Data-Cryptocurrency-Clusters

haghish / autoEnsemble

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

MCoffey1129 / Utilising-Machine-Learning-for-portfolio-selection-with-the-aim-of-out-performing-Benchmark-Indices

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

BartBoerman / classify-passenger-survival-titanic-h2o

benkeser / cvma

SamdenLepcha / Predict-Market-Competitiveness-For-Insurance-Products

saminens / Predicting-Bankruptcy-of-firms

snyamson / Loan-Default-Prediction-Machine-Learning

YotamFY / GraphEnsemble

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

bhaveshkr / Super-Learner-Classifier

jiko23 / jayanta

Kimchi21 / Raisin-Grain-Prediction-Using-a-StackedEnsembleModel

nezamtrm / pneumonia_detection

ajayarunachalam / metaEnsembleR

cserajdeep / stacked-racifer10net

emanuelegiona / FDS-Project-HousePrices

imalenica / cvma

MCoffey1129 / Stacked_Models