Topic: boruta Goto Github
Some thing interesting about boruta
Some thing interesting about boruta
boruta,Sales Prediction for Rossmann Pharmaceutics database using Machine Learning regression modeling
User: andremenezesds
Home Page: https://rossmann-sales-prediction-bot.onrender.com
boruta,A fast xgboost feature selection algorithm
User: chasedehan
boruta,Feature selection on a Bitcoin Dataset
User: cristiancosci
boruta,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.
User: dixitamol
boruta,Credit Scoring from inputs to interpretation, see Streamlit_app repo to get to the dashboard
User: etiennelardeur
boruta,Machine learning model developed in R to predict which water pumps across Tanzania are not working properly
User: gabrieledb02
boruta,Project made for Advanced Methods in Machine Learning subject at MINI PW
User: mateuszdorobek
boruta,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.
User: mbouhid
boruta,Migrated to GitLab
User: mbq
Home Page: https://gitlab.com/mbq/Boruta
boruta,CART, K-Means, Apriori, Adaboost, RFE; models using Anti-cancer peptides vs Human proteins
User: mccurcio
boruta,Project for IST687 Applied Data Science- School of Information Studies, Syracuse University
User: msapurva
Home Page: https://www.youtube.com/watch?v=dZsPBlT_Jic
boruta,This repository proposes several methods to infer relevant associations within a set of features.
User: ncaptier
boruta,Modelling and prediction of default + deployment via AWS Sagemaker
User: nicolaivicol
boruta,Data Mining exercise of epitope prediction and classification of virus based on protein data
User: nissyabrahama
boruta,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.
User: rajesvariparasa
boruta,Classification model using R to predict the biodegradability of various chemicals
User: ritvik-v
boruta,Feature selection project for a student competition. Analyzing data for chemists at University of Southampton.
User: samsamiczy
boruta,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.
User: satyakamacodes
boruta,All-relevant feature selection with Boruta, Shiny and R
Organization: statsim
Home Page: https://statsim.shinyapps.io/select/
boruta,A Human Resource Analytics project that addresses the question "Why do employees leave?". Also helps us better understand factors for employee satisfaction
User: surya-murali
Home Page: https://github.com/Surya-Murali/Human-Resource-Analytics-in-R
boruta,Identify the most important variables that contribute to the level of sustainability of schools using supervised machine learning. Use the importance to assign a weight to each characteristic and calculate a sustainability index for each school.
User: sushrutshitoot
boruta,All Relevant Feature Selection
User: thomasbury
boruta,Analytical tool to help the company decide whether the employee will stay or not
User: yashjshah
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