Iris Flower Classification This project implements a Machine Learning model to classify iris flower species based on their physical measurements.

Tech Stack: Python -> For data manipulation and model building.

Libraries -> NumPy, Pandas, Scikit-Learn.

Deployment -> Python scripts for model inference.

File Structure: iris.ipynb -> Jupyter Notebook containing data analysis and model training.

deploy.py -> Script for deploying the trained model.

iris.csv -> The dataset used for training.