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Iris Flower Classification ๐ŸŒธ

A machine learning project to classify iris flower species based on petal and sepal measurements using classical classification algorithms.

๐Ÿ” Project Overview

This project uses the famous Iris Dataset to train and evaluate machine learning models for classifying three iris species:

  • Iris Setosa
  • Iris Versicolor
  • Iris Virginica

Based on the following features:

  • Sepal Length
  • Sepal Width
  • Petal Length
  • Petal Width

๐Ÿงฐ Technologies Used

  • Python
  • pandas, NumPy
  • scikit-learn (SVM, KNN, Decision Tree, Logistic Regression, etc.)
  • Matplotlib, Seaborn (for data visualization)

About

University Project: Course - Artificial Inteligence

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