Machine Learning Iris Species Classification

by Shubhrendu Tripathi

This project applies machine learning (classification) on Fisher's Iris Data to predict the species of a new sample of Iris flower using K-Nearest Neighbor (KNN) Classifier algorithm.

Setup

• Python 3.10
• scikit-learn 1.3
• pandas 2.0
• numpy 1.25
• plotly 5.16

Dataset

The dataset for this project originates from the UCI (University of California Irvine ) Machine Learning Repository. The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper, "The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis".

Features in the Dataset

• Length of the sepals (in centimeters)
• Width of the sepals (in centimeters)
• Length of the petals (in centimeters)
• Width of the petals (in centimeters)