0PricingLogin▼
Learn AI with Python · Lesson

The Concept of Linear Regression

Understanding relationships between variables.

1

The Concept of Linear Regression

Linear regression is one of the simplest and most widely used algorithms in supervised learning. It models the relationship between two variables by fitting a straight line to the data.

This line is called the line of best fit.

The Concept of Linear Regression — illustration 1

2

When to Use Linear Regression

Linear regression is ideal for:

  • Predicting continuous values (e.g., house prices, temperature).
  • Understanding relationships between independent and dependent variables.

All lessons in this course

  1. The Concept of Linear Regression
  2. Implementing Linear Regression in Python
  3. The Concept of Logistic Regression
  4. Logistic Regression Implementation
  5. Evaluating Model Performance
← Back to Learn AI with Python