This is a group project for MTH416A: Regression Analysis at IIT Kanpur
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Updated
Dec 3, 2021 - R
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
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.
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.
Applying stepwise selection in R Studio to forecast credit balances and stock market behavior.
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