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iris-classification

Iris Classification Project

This project uses Logistic Regression and Decision Tree classifiers to identify iris flower species based on petal and sepal measurements.

Objective

Classify iris flowers into one of three species: Setosa, Versicolor, or Virginica using scikit-learn.

Tools

  • Python 3.x
  • Jupyter Notebook
  • NumPy, Pandas
  • Scikit-learn
  • Seaborn, Matplotlib

Files

  • iris_classification.ipynb — Jupyter Notebook with complete workflow (data loading, visualization, training, evaluation).
  • requirements.txt — Python dependencies.
  • .gitignore — ignored files/folders.

How to Run

  1. Clone the repository:
    git clone https://github.com/<your-username>/iris-classification.git
    cd iris-classification

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