> ## Documentation Index
> Fetch the complete documentation index at: https://ai.teamjaaf.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Supervised Learning

> Overview of supervised learning and key algorithms.

# 📘 Supervised Learning

Supervised learning algorithms learn a mapping from inputs $x$ to outputs $y$ using labeled training data. Each example in the training set is a pair $(x^{(i)}, y^{(i)})$, and the goal is to learn a function $f(x)$ that generalizes to new unseen examples.

## Common Algorithms

* [Linear Regression](./linear-regression)
* [Logistic Regression](./logistic-regression)

These pages dive into the mathematics, intuition, and practical implementation of each method.
