Iris Flower Classification using K-Nearest Neighbors (KNN)

This project is a simple implementation of the KNN algorithm for classifying the famous Iris dataset.

Course

This notebook was developed as part of the "Introduction to AI, Machine Learning, and Deep Learning" course offered by Class.Vision.

Instructor

The course was taught by Dr. Alireza Akhavan. The original notebook and other related materials are available in his GitHub repository:
🔗 https://github.com/Alireza-Akhavan/ML-notebooks

Dependencies

See requirements.rtf for necessary packages.

Notes

Some sections of this notebook are adapted from the instructor’s material. I have added my own explanations, experiments, or visualizations where noted.