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GitHub topics: stepwise-selection

chris-santiago/steps

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

Language: Jupyter Notebook - Size: 781 KB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

lorenzoridolfi9/EPS-Index

EPS forecast with Lasso, Elastic Net and multiple linear regression

Language: Jupyter Notebook - Size: 10 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 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.

Language: R - Size: 574 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

toukirnaim08/SAS-Multiple-Regression-Stepwise-Elimination

Multiple regression model with stepwise elimination using SAS

Language: SAS - Size: 35.2 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

animeshsareen/stepwise-R

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

Language: R - Size: 51.8 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ArkaB-DS/regressionProjectIITK

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

Language: R - Size: 7.79 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

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.

Language: R - Size: 421 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1