1)Create model and train # importing Librarys import pandas as pd import numpy as np import matplotlib . pyplot as plt import seaborn as sns import requests from pickle import dump , load # Load Dataset url = "http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data" names = [ "sepal_length" , "sepal_width" , "petal_length" , "petal_width" , "species" ] # Loading Dataset df = pd . read_csv ( url , names = names ) df . tail ( 11 ) df . columns test = [ { 'sepal_length' : 5.1 , 'sepal_width' : 3.5 , 'peta...