Iris Flower Classification using Machine Learning

Project Description

This Repo is a Machine Learning program that classifies Iris flowers into three species: Iris-setosa, Iris-versicolor, and Iris-virginica based on their sepal and petal measurements. The program uses Logistic Regression, a simple and effective classification algorithm, to train a model on the Iris dataset and predict the species of new flowers.

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Dataset Structure / Features

The dataset contains the following columns:

1. sepal_length
2. sepal_width
3. petal_length
4. petal_width are used as Features (numerical features used for training the model)
5. species – Target variable indicating the species of the flower. Possible classes:
   • Iris-setosa
   • Iris-versicolor
   • Iris-virginica

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Installation / Requirements

This project requires Python 3.x and the following Python libraries:

• pandas
• scikit-learn

Install the required packages using pip:

pip install pandas

pip install  scikit-learn