Iris Flower Classification

This project focuses on classifying different species of iris flowers based on their physical features. Using logistic regression, a machine learning technique, the model predicts the species of an iris flower from measurements such as sepal length, sepal width, petal length, and petal width. The project is deployed on Render, a cloud platform, and utilizes Flask, a lightweight web framework, to create a user-friendly web interface. Users can input flower measurements and receive instant predictions about the flower's species