Scikit-learn Examples

A collection of practical examples using scikit-learn for machine learning tasks.

Contents

• Classification examples
• Regression examples
• Clustering examples
• Data preprocessing
• Model evaluation

Requirements

pip install scikit-learn pandas numpy matplotlib

Usage

Each example is self-contained and can be run independently:

python example_name.py

Examples Include

• Linear and logistic regression
• Decision trees and random forests
• K-means clustering
• Cross-validation techniques
• Feature selection methods

Getting Started

1. Clone this repository
2. Install dependencies
3. Run any example script
4. Modify parameters to experiment

Resources

• Scikit-learn Documentation
• User Guide

Feel free to contribute additional examples or improvements!