This Video covers the following Logistic Regression Concepts
Training & Testing
Development, Validation, and Hold Out Sample
Data Understanding
Missing Value Treatment
Outlier Treatment
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.
You can easily get the Python and R code to build Logistic Regression Model from our blog series. https://www.k2analytics.co.in/introduction-to-logistic-regression/
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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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