From the course: Machine Learning with Python: Logistic Regression
Classifying data with logistic regression - Python Tutorial
From the course: Machine Learning with Python: Logistic Regression
Classifying data with logistic regression
- Logistic regression is one of the simplest and most commonly-used classification approaches in machine learning. It allows us to model the relationship between a set of predictors and the probability of a categorical response. Not only is it great for prediction; it also allows us to make statistical inference. Hi. I'm Fred Nwanganga. I'm a data scientist, teacher and author with a passion for AI and machine learning. Welcome to "Machine Learning with Python: "Logistic Regression." In this course, I explain what regression analysis is, the anatomy of a regression model, and common types of regression. I also discuss when logistic regression is most useful, and when it's not. Finally, I walk through the process of importing, exploring and preparing data for logistic regression, as well as how to build, evaluate and interpret a logistic regression model in Python. Let's get started.
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