Logistic Regression (Predictive Modeling) workshop using R

Name: Logistic Regression (Predictive Modeling) workshop using R
Rating: 4.4 (97 reviews)

Predictive Analytics - Learn R syntax for step by step logistic regression model development and validations

(97 ratings)

525 students

Created by Gopal Prasad Malakar

Last updated 9/2019

English

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

Gopal Prasad Malakar

Trains Industry Practices on data science / machine learning

4.2 Instructor Rating
10,502 Reviews
110,673 Students
17 Courses

I am a seasoned Analytics professional with 20+ years of professional experience. I have industry experience of impactful and actionable analytics, data science, decision strategy and enterprise wise data strategy.

I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students (or partcipants) are crystal clear on how to use the learning in their business scenarios.

My expertise is in Credit Card Business, Scoring (econometrics based model development), score management, loss forecasting, business intelligence systems like tableau /SAS Visual Analytics, MS access based database application development, Enterprise wide big data framework and streaming analysis.

Please refer to my course for

- SAS / R program details (syntax and options)

- SAS / R output deep dive

- Practical usage in Industrial situation