Introduction
Welcome to the session on “Industry Applications of Logistic Regression”. In the previous sessions, you learnt the process of building a logistic regression model in Python and evaluating its performance using a few key metrics.
In this session
You will learn how to use the concepts you learnt earlier in actual business settings. Broadly speaking, the agenda for the session is as follows:
- Types of logistic regression
- Nuances of logistic regression
- Sample selection
- Segmentation
- Variable transformation
Guidelines for in-session questions
The in-video and in-content questions for this module are not graded. Note that graded questions are given on a separate page labelled ‘Graded Questions’ at the end of this session. The graded questions in this session will adhere to the following guidelines:
| First Attempt Marks | Second Attempt Marks | |
| Question with 2 Attempts | 10 | 5 |
| Question with 1 Attempt | 10 | 0 |