ensemble-methods

There are 0 repository under ensemble-methods topic.

self-paced-ensemble
ZhiningLiu1998 / self-paced-ensemble
ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
imbalance-classification ensemble-learning imbalanced-learning imbalanced-data ensemble-methods machine-learning python3 ensemble ensemble-model classification pypi class-imbalance imbalanced-learn
Language:Python 248
usgs / pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
uncertainty-quantification parameter-estimation ensembles optimization-tools optimization sensitivity-analysis global-sensitivity-analysis parallel-computing non-intrusive ensemble-methods
Language:C++ 117
Curt-Park / handwritten_digit_recognition
Handwritten digit recognition with MNIST & Keras
handwritten-digit-recognition ensemble-methods mnist deep-convolutional-networks residual-networks image-recognition python mobilenet resnet vgg16 wide-residual-networks super-learner
Language:Python 76
N00Bception / AI-CryptoTrader
AI-CryptoTrader is a state-of-the-art cryptocurrency trading bot that uses ensemble methods to make trading decisions based on multiple sophisticated algorithms. Built with the latest machine learning and data science techniques, AI-CryptoTrader provides a powerful toolset and advanced trading stratgies for maximizing your cryptocurrency profits.
algorithmic-trading artificial-intelligence azure-ai binance bitcoin bot cryptocurrency data-science deep-learning ensemble-methods machine-learning python trading trading-bot trading-strategies
Language:Python 25
YisongMiao / CS5228-project
Winning 2nd place🥈at NUS CS5228 in-class Kaggle competition 2018!
data-mining ensemble-methods svm text-classification tokenizer
Language:Jupyter Notebook 12
ChaitanyaC22 / Udacity-AWS-MLE-ND-Project1-Bike-Sharing-Demand-with-AutoGluon
This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.
autogluon automl data-science exploratory-data-analysis feature-engineering hyperparameter-optimization jupyter-notebook machine-learning model-building python machine-learning-algorithms deep-learning boosting-algorithms ensemble-methods stacking amazon-web-services model-evaluation
Language:HTML 3
timeseries-forecasting-fourier-time-dummies
FlorinAndrei / timeseries-forecasting-fourier-time-dummies
Time series forecasting with Fourier-adjusted time dummies
ensemble-methods fourier-transform machine-learning time-series-forecasting
Language:Jupyter Notebook 3
agusticonesagago / Evaluation-of-methods-to-combine-predictions-from-ensemble-learning-in-multivariate-forecasting
This project studies different possibilities to make good predictions based on machine learning algorithms, but without requiring great theoretical knowledge from the users. Moreover, a software package that implements the prediction process has been developed. The software is an ensemble method that first predicts a value taking into account different algorithms at the same time, and then it combines their results considering also the previous performance of each algorithm to obtaina final prediction of the value. Moreover, the solution proposed and implemented in this project can also predict according to a concrete objective (e.g., optimize theprediction, or do not exceed the real value) because not every prediction problem is subject to the same constraints. We have experimented and validated the implementation with three different cases. In all of them, a better performance has been obtained in comparison with each of the algorithms involved, reaching improvements of 45 to 95%.
machine-learning python incremental-learning ensemble-learning ensemble-methods self-adaptive-systems online-supervised-learning regression
Language:Jupyter Notebook 2
predict-sale-prices-regression
FlorinAndrei / predict-sale-prices-regression
Predict sale prices via regression models, using PCA, k-means clustering, ensemble models, pipelines, etc.
ensemble-methods machine-learning pipelines regression
Language:HTML 2
LeondraJames / AdClick_Fraud
Capstone project #2 for the Harvard University Professional Certificate in Data Science
ads capstone classification decision-trees digital-marketing ensemble-methods machine-learning r random-forest support-vector-machines
Language:R 2
wwweiwei / Track2Vec
Official Implementation of Track2Vec: Fairness Music Recommendation with a GPU-Free Customizable-Driven Framework EvalRS-CIKM-2022
ensemble-methods recommendation-system fairness-metric
Language:Python 2
mosyariefali / Loan-Default-Prediction
Build a classification model to predict clients who are likely to default on their loans. Give recommendations to the bank on important features to consider while approving a loan. Concepts Used: Logistic Regression, Decision Trees, Random Forests, and Ensemble Methods
decision-trees ensemble-methods logistic-regression random-forest
1
ayigitdogan / BandB-Data-Analysis-Case-Study
My solutions to the data analysis and forecasting case study held by Bella & Bona
data-analysis ensemble-methods machine-learning time-series
Language:Jupyter Notebook 0
BananAlhethlool / Promotions-Prediction-Classification
Predicts the qualified employee for promotion using Classification
classifcation hr knn-classification logistic-regression decision-tree random imbalance smote ensemble-methods experimenting-stacking gaussiannb over-sampling
Language:Jupyter Notebook 0
course-files / BBT4206-R-Lab10of15-EnsembleMethods
Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Ensemble Methods.
ensemble-methods
Language:R 0
devanshkhare1705 / Personalizing-K12-Education
Using deep learning to predict whether students can correctly answer diagnostic questions
autoencoder-neural-network bootstrap-aggregation diagnostic-tool dropout early-stopping-with-patience education ensemble-methods momentum numpy pytorch regularization-methods
Language:Jupyter Notebook 0
LinggarM / Ensemble-Learning-Comparison-on-Diabetes-Classification
Comparison of ensemble learning methods on diabetes disease classification with various datasets
ensemble-learning ensemble-machine-learning machine-learning diabetes-prediction gradient-boosting bagging-ensemble boosting-ensemble stacking-ensemble python bagging boosting ensemble-methods stacking adaboost cat-boost extreme-gradient-boosting light-gradient-boosting-machine
Language:Jupyter Notebook 0
Otniel113 / LungCancerIdentification
Identification of Lung Cancer in Smoker Person Using Ensemble Methods Based on Gene Expression Data. Presented in IC2IE and published to IEEE.
bioinformatics data-science ensemble-methods gene-expressions lung-cancer
Language:Jupyter Notebook 0
RudraChatterjee / Visa-approval-prediction-EnsembleMethodsML
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
adaboost baggingclassifier boosting-algorithms classification data-visualization decision-trees ensemble-methods exploratory-data-analysis f1-score feature-importance gradient-boosting hyperparameter-tuning logistic-regression machine-learning machine-learning-algorithms stacking-classifier xgboost
Language:Jupyter Notebook 0
STProgrammer / Ensembled-naive-bayes-classifiers
Test and comparison of ensemble method with naive bayes classifier on 5 different data sets.
ensemble-machine-learning naive-bayes-classifier ensemble-method naivebayes-classifiers naivebayesclassifier ensemble-methods naive-bayes-algorithm
Language:Jupyter Notebook 0
thomas-brink / STATS315B_Project
Course project for Stanford's STATS 315B (Modern Applied Statistics: Learning II).
clustering ensemble-methods subspace-projection unsupervised-learning
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
Cimm-Yeoman / Divorce-Prediction
The goal of this report was to identify which variable best predicts divorce using decision trees and other ensemble methods. In the data set, Class is the response variable, with 0 = still married and 1 = divorced.
bayesian-additive-regression-trees bayesian-statistics data-analysis data-science decision-trees ensemble-methods r random-forest statistical-learning
nanditashukla / AIML-Projects
Projects completed as a part of IIIT-Delhi's Post Graduation Diploma in Computer Science and Artificial Intelligence.
clustering-algorithm data-preprocessing data-science decision-tree-classifier deep-neural-networks ensemble-methods exploratory-data-analysis feature-selection hyperparameter-tuning knn-classification logistic-regression machine-learning naive-bayes-classifier pca-analysis random-forest-classifier supervised-learning unsupervised-learning
Language:Jupyter Notebook
Parin30 / AI-ML-Projects
A collection of AI and ML projects demonstrating various techniques, algorithms, and applications.
ai machine-learning matplotlib python regression-algorithms regression-models scikit-learn ensemble-learning ensemble ensemble-methods unsupervised-learning deep-learning neural-networks image-recognition keras
Language:Jupyter Notebook
thedatanerdz / MLP-62
Diabetes prediction using bagging (ensemble methods)
bagging-ensemble data-science ensemble-methods python machine-learning
Language:Jupyter Notebook
victorsemeraro / Optimization
optimization machine-learning neural-networks ensemble-methods
Language:Jupyter Notebook

ensemble-methods

ZhiningLiu1998 / self-paced-ensemble

usgs / pestpp

Curt-Park / handwritten_digit_recognition

N00Bception / AI-CryptoTrader

YisongMiao / CS5228-project

ChaitanyaC22 / Udacity-AWS-MLE-ND-Project1-Bike-Sharing-Demand-with-AutoGluon

FlorinAndrei / timeseries-forecasting-fourier-time-dummies

agusticonesagago / Evaluation-of-methods-to-combine-predictions-from-ensemble-learning-in-multivariate-forecasting

FlorinAndrei / predict-sale-prices-regression

LeondraJames / AdClick_Fraud

wwweiwei / Track2Vec

mosyariefali / Loan-Default-Prediction

ayigitdogan / BandB-Data-Analysis-Case-Study

BananAlhethlool / Promotions-Prediction-Classification

course-files / BBT4206-R-Lab10of15-EnsembleMethods

devanshkhare1705 / Personalizing-K12-Education

LinggarM / Ensemble-Learning-Comparison-on-Diabetes-Classification

Otniel113 / LungCancerIdentification

RudraChatterjee / Visa-approval-prediction-EnsembleMethodsML

STProgrammer / Ensembled-naive-bayes-classifiers

thomas-brink / STATS315B_Project

ajayarunachalam / metaEnsembleR

Cimm-Yeoman / Divorce-Prediction

nanditashukla / AIML-Projects

Parin30 / AI-ML-Projects

thedatanerdz / MLP-62

victorsemeraro / Optimization