Logistic Regression (Predictive Modeling) workshop using R
- 4.4
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Brief Introduction
Predictive Analytics - Learn R syntax for step by step logistic regression model development and validationsDescription
This course is a workshop on logistic regression using R. The course
- Doesn't have much of theory - it is more of execution of R command for the purpose
- Provides step by step process details
- Step by step execution
- Data files for the modeling
- Excel file containing output of these steps
The content of the course is as follows
- Data Import and Data Sanity Check
- Development n Validation dataset preparartion
- Important Categorical Variable selection
- Important Numeric Variable Selection
- Indicator Variable Creation
- Stepwise Regression
- Dealing with multicollinearity
- Logistic Regression Score n Probability generation in the data set
- Hands on KS Calculation
- Coefficient stability check
- Iterate for final model
Requirements
- Requirements
- Theory behind logistic regression - theory is not covered in this course
- Familiarity with basic R syntax
Gopal Prasad Malakar
4.4 Raiting
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