Freelancer Project

🌸 Predicting Nature with Machine Learning! This project uses the famous Iris flower dataset to classify species based on petal and sepal dimensions. Built with Python, Scikit-learn, and visualization tools like Matplotlib and Seaborn, it demonstrates fundamental ML techniques such as data preprocessing, training/testing models, and evaluating performance using classification metrics. The system accurately predicts whether a flower is Iris Setosa, Versicolor, or Virginica—making it a perfect demonstration of supervised learning and pattern recognition.