The Concept of Logistic Regression
Introduction to classification problems.
1
The Concept of Logistic Regression
Logistic regression is a supervised learning algorithm used for classification problems. Unlike linear regression, it predicts a categorical outcome (e.g., yes/no, true/false).
It is widely used in fields like finance, healthcare, and marketing.
2
How Logistic Regression Works
Logistic regression uses the sigmoid function to transform a linear output into a probability value between 0 and 1. This probability determines the class label.
All lessons in this course
- The Concept of Linear Regression
- Implementing Linear Regression in Python
- The Concept of Logistic Regression
- Logistic Regression Implementation
- Evaluating Model Performance