h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, 2 channels, s16 | 3h 37 mn | 551 MB
Instructor: Gopal Prasad Malakar

This course is a workshop on logistic regression using R.

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

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



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