Iris-Flower-Classification-

Introduction:

In this beginner's mini-project, I have implemented various Classification Algorithms of Machine Learning on Fisher's Iris Data to predict the species of a new sample of Iris flower. This project uses UCI repository as the dataset (http://archive.ics.uci.edu/ml/datasets/Iris) The data set consists of 50 samples from each of three species of Iris.

Features:

1. Length of the sepals
2. Width of the sepals
3. Length of the petals
4. Width of the petals

Predicted Attribute (Target Variable):

Different species of Iris Plant

Purpose:

To gain exposure to Machine Learning Classification concepts along with data visualization.