Machine Learning web application using Python, Scikit-Learn, Flask
The scikit-learn Iris data-set consists of 3 (Setosa, Versicolour, and Virginica) species (50 samples per species, for a total of 150 samples) of the iris flower. Each sample has four measurements: sepal length, sepal width, petal length, petal width. Given these measurements a machine learning model can predict the iris specie with a high degree of accuracy. Here I demonstrate a machine learning web application using Python, Scikit-Learn machine learning library and Flask web framework....