Logistic Regression using R (Part 3) | Information Valuation | Pattern Detection & Visualization

This Video covers the following Logistic Regression Concepts
Information Value
Weight of Evidence
Binning | Bucketing
Visualization & Pattern Detection

This video is part of the Logistic Regression PlayList which covers Model Development Concepts with a step-by-step approach to building a Logistic Regression Model in R.

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The Table of Content of the entire Logistic Regression PlayList is given below:

1) Introduction to Logistic Regression
2) Hypothesis Testing
3) Single Categorical Variable Logistic Regression
4) Single Continuous Variable Logistic Regression
5) Multivariate Logistic Regression
6) Train-Test; Development - Validation - Holdout Sample
7) Variable Transformation and its importance in Model Development
8) Information Value and Weight of Evidence
9) Outlier Treatment
10) Missing Value Imputation
11) Model Development & Evaluation
12) Various Model Performance Measures
13) Model Validation
14) Hold-out Testing
15) Model Deployment Strategies

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