The Iris flower detection is a classic machine learning problem that involves predicting the species of the Iris flower based on its four measurements: sepal length, sepal width, petal length, and ...

This is an small machine learning project done using python and various libraries such as numpy, scipy, scikit-learn, pandas and matplotlib for classifiying the Iris plant data and its prediction ...

The objective of this paper is to introduce a new integrated methodology for iris detection and recognition using a two fold method to deduce better results as compared to the existing techniques. The ...