Logistic Regression (Predictive Modeling) workshop using R
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h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, 2 channels, s16 | 3h 37 mn | 551 MB
Instructor: Gopal Prasad Malakar
Predictive Analytics - Learn R syntax for step by step logistic regression model development and validations
What you'll learn
Familiar with Syntax for - Step by step logistic regression modeling using R
Requirements
Theory behind logistic regression - theory is not covered in this course
Familiarity with basic R syntax
Description
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
Who this course is for:
R professionals
Analytics Professionals
Data Scientists
Screenshots
Homepage
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