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:
- Length of the sepals
- Width of the sepals
- Length of the petals
- 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.