Welcome to the session on ‘Univariate Logistic Regression‘.
In this session
In this session, you will learn a few basic concepts related to logistic regression. Broadly speaking, the topics that will be covered in this session are..
- Binary classification
- Sigmoid function
- Likelihood function
- Building a logistic regression model in Python
- Odds and log odds
You will learn about all these concepts through a univariate logistic regression example. Also, if these terms sound a little alien to you right now, you don’t need to worry. By the time you are done with this module, you will be well-versed in the terms of odds and log odds!
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