stepwise-selection

There are 0 repository under stepwise-selection topic.

• chris-santiago / steps

  A SciKit-Learn style feature selector using best subsets and stepwise regression.

  stepwise-selectionbest-subset-selectionscikit-learnpythondata-science
  Language:Jupyter Notebook 4
• stepwise-regression

  Mathias-Kreis / stepwise-regression

  Stepwise regression fits a logistic regression model in which the choice of predictive variables is carried out by an automatic forward stepwise procedure.

  feature-selectionlogistic-regressionvariable-selectionstepwise-regressionstepwise-selectionstatsmodels
  Language:Python 3

• ArkaB-DS / regressionProjectIITK

  This is a group project for MTH416A: Regression Analysis at IIT Kanpur

  aicalternating-conditional-expectationauto-arimabox-coxbreusch-paganmallows-cpmultiple-time-seriesozonepredictionprincipal-components-regressionqq-plotrridge-regressionrmsescatterplot-matrixscree-plotshapiro-wilkstepwise-selectionvariance-decompotion-proportionvif
  Language:R 2

• TawfikFadzil / Automated-Lead-Scoring

  Lead scoring is an effective lead prioritization method used to rank prospects based on the likelihood of converting them to customers. This repository aimed to develop an automatic lead scoring through logistic regression technique. Stepwise selection approach is used to identify and select important variables for the model.

  logistic-regressionstepwise-selectionlead-scoringfeature-selection
  Language:R 1

• animeshsareen / stepwise-R

  Applying stepwise selection in R Studio to forecast credit balances and stock market behavior.

  akaike-information-criteriondata-sciencefinancial-analysismachine-learningstepwise-selection
  Language:R 0

• didizhx / Statistical-and-ML-Approaches-Individual-Project

  This project was made as part of the Statistical and Machine Learning Approaches for Marketing course at IESEG School of Management

  r-programmingcaretmachine-learningfeature-selectionstepwise-selection
  Language:Jupyter Notebook 0

• euaarseniou / MscBA-Statistics1-Ames-Iowa-Dataset-Predict-Property-Prices

  stepwise-selectionlassoleave-one-out-cross-validationk-fold-cross-validationrmsepairwise-comparisonpredictive-modeling
  Language:R 0

• ricardoariasalazar / Electric-Rotor-Temperature-Prediction

  Design of a model with appropriate feature engineering, that estimates one target temperature rotor temperature (“pm”) in a causal manner, based on the data set that records the rotor temperatures of a permanent magnet synchronous motor (PMSM) in real-time

  exploratory-data-analysiscorrelation-matrixstepwise-selectionlinear-regressionregularizationfeature-selection
  Language:Jupyter Notebook 0

• Siddharth1989 / MonthlyUtilityBillEstimation

  The given dataset contains electricity consumer household information. This information has been used to predict the amount to be paid by the consumer with the help of regression model selection and validated with feature importance.

  box-plotcooks-distancecorrelationk-fold-cross-validationlinear-regressionmachine-learningregression-modelsrmsestepwise-regressionstepwise-selection
  Language:Jupyter Notebook 0

• sina-bozorgmehr / Telecom_Churn

  Classifying customers using Logistic Regression

  logistic-regressionseaborn-plotsstatsmodelspythonunivariate-analysisbivariate-analysissklearn-linear-regressionstepwise-selectionconfusion-matrix
  Language:Jupyter Notebook 0

• Lefteris-Souflas / Multiple-Regression-Project

  Analysis of real estate sales data. Tasks include understanding dataset structure, variable conversion, descriptive analysis, pairwise comparisons, linear relationship analysis, multiple regression modeling, feature selection using stepwise methods, final model summary, assumptions checking, and LASSO variable selection. Results are documented.

  assumption-testingdescriptive-analysisdurbin-watson-testfeature-selectionlasso-regressionlinear-relationshipmultiple-regressionpairwise-comparisonpearson-correlation-coefficientrruns-teststepwise-selectionvisualization
  Language:R

• lorenzoridolfi9 / EPS-Index

  EPS forecast with Lasso, Elastic Net and multiple linear regression

  elasticnet-regressionlasso-regressionregression-modelsstepwise-selection
  Language:Jupyter Notebook

• sina-bozorgmehr / Telecom_churn_MLR

  Predictive modeling

  pythonmultiple-linear-regressionseaborn-plotsunivariate-analysisbivariate-analysissklearnstepwise-selection
  Language:Jupyter Notebook

• toukirnaim08 / SAS-Multiple-Regression-Stepwise-Elimination

  Multiple regression model with stepwise elimination using SAS

  regressionstepwise-selectionsas
  Language:SAS