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GitHub topics: boruta

ThomasBury/arfs

All Relevant Feature Selection

Language: Python - Size: 77.6 MB - Last synced at: 9 days ago - Pushed at: about 2 months ago - Stars: 134 - Forks: 14

chasedehan/BoostARoota

A fast xgboost feature selection algorithm

Language: Python - Size: 693 KB - Last synced at: 6 days ago - Pushed at: about 4 years ago - Stars: 222 - Forks: 38

ManishKumarPatel07/Heartattack_Risk_Prediction

"Heart Attack Risk Prediction" uses machine learning to estimate the likelihood of a heart attack based on user-provided data like physical attributes, symptoms, and medical history. This system enables remote screening, identifying high-risk individuals, and easing medical system burdens by providing early, data-driven health risk assessments.

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MariePittet/Feature_selection_clin_var

Predictions of clinical variables with sensible feature selection. Includes: Elastic net, BORUTA, hierarchical regression

Language: R - Size: 22.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ttsudipto/recurrence-pred-genomics

ML-based prediction of NSCLC recurrence with gene expression data

Language: Python - Size: 11.1 MB - Last synced at: about 1 hour ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

rajesvariparasa/ml-processing-pipeline-for-predicting-houseprices

This repository contains an ML workflow to predict house prices in Ames, Iowa. This project work is carried out under the Machine Learning module of the GeoDSc track of the Copernicus Master in Digital Earth.

Language: Jupyter Notebook - Size: 82 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

dixitamol/insuranceSalePredictor

The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.

Language: R - Size: 4.04 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

CristianCosci/Feature_Selection_BTC_dataset_BorutaPy

Feature selection on a Bitcoin Dataset

Language: Jupyter Notebook - Size: 349 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 2

NissyAbrahamA/Epitope-Prediction

Data Mining exercise of epitope prediction and classification of virus based on protein data

Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nicolaivicol/ml-pred-default-deploy-aws-sagemaker

Modelling and prediction of default + deployment via AWS Sagemaker

Language: HTML - Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

AVEitsme/ds-tools

Language: Jupyter Notebook - Size: 40 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

satyakamacodes/miniBaymax---A-low-cost-interactive-diagonostic-tool-for-Valvular-Heart-Disease-detection

This web application is motivated by Baymax of the animated movie Big Hero 6. It detects Valvular Heart disorder i.e. damage or defect in one of the four heart valves. On the Machine Learning side, I have used AutoML from the deep learning platform H2O. And the interactive application is build in RShiny.

Language: R - Size: 949 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 3

mateuszdorobek/Machine-Learning-Feature-Selection

Project made for Advanced Methods in Machine Learning subject at MINI PW

Language: Python - Size: 2.18 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 1

AndreMenezesDS/rossmann_sales_predict

Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling

Language: Jupyter Notebook - Size: 10 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

mbouhid/hackdays3_credit_limit

A Credit Limit Classification Business Problem. We need to develop a model in 2 days to predict if a bank should concede or not give a higher credit limit to its clients.

Language: Jupyter Notebook - Size: 4.09 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

mbq/Boruta

Migrated to GitLab

Language: R - Size: 91.8 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 18 - Forks: 1

yashjshah/Employee-Data-Analysis

Analytical tool to help the company decide whether the employee will stay or not

Language: R - Size: 151 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1

ncaptier/Associations_Inference

This repository proposes several methods to infer relevant associations within a set of features.

Language: Jupyter Notebook - Size: 803 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 2

samsamiczy/eda-competition

Feature selection project for a student competition. Analyzing data for chemists at University of Southampton.

Language: R - Size: 305 KB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

statsim/select-shiny

All-relevant feature selection with Boruta, Shiny and R

Language: R - Size: 47.9 KB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

mccurcio/anti-cancer-human-modeling

CART, K-Means, Apriori, Adaboost, RFE; models using Anti-cancer peptides vs Human proteins

Language: HTML - Size: 61 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Related Keywords
boruta 21 machine-learning 10 feature-selection 9 python 7 r 5 random-forest 4 scikit-learn 4 pca 3 pandas 3 data-science 3 xgboost 2 logistic-regression 2 shiny 2 matplotlib 2 numpy 2 cross-validation 2 svm 2 predictive-analytics 2 machinelearning 2 machine-learning-algorithms 2 kmeans 2 decision-trees 2 eda 2 optuna 2 linear-regression 2 flask-application 1 git 1 linux 1 database 1 linux-shell 1 data-exploration 1 rfe 1 vhd 1 shinyapps 1 shiny-apps 1 shiny-applications 1 medical-application 1 heart-disease-detection 1 heart-disease 1 h2o 1 deeplearning 1 automl 1 woe 1 psi 1 autoencoder 1 xgboost-classifier 1 correlation-matrices 1 cart 1 apriori-algorithm 1 adaboost-learning 1 shinyapp 1 feature-analysis 1 chemistry 1 tigress 1 dream4-challenge 1 associations-inference 1 tree-pruning 1 predictive-modeling 1 predictive 1 prediction 1 hypothesis-testing 1 decision-tree-regression 1 decision-tree-classifier 1 decision-tree-algorithm 1 decision-tree 1 decision-making 1 auc-roc-curve 1 analytics 1 analysis 1 aic 1 cran 1 hackday 1 xgboost-regression 1 sklearn 1 scipy 1 bayesian-optimization 1 ames-housing 1 support-vector-machine 1 smote 1 rna-seq 1 recurrence-prediction 1 non-small-cell-lung-cancer 1 multilayer-perceptron 1 mcfs 1 imbalanced-learn 1 gene-expression 1 hierarchical-models 1 elastic-net 1 knn-algorithm 1 xgboost-algorithm 1 dimension-reduction 1 datascientist 1 datascience 1 algorithm 1 shadow-features 1 mrmr 1 lightgbm 1 feature-engineering 1 discretization-algorithm 1 autobinning 1