#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 23 17:02:19 2020
@author: sri
"""

import pandas as pd
import matplotlib.pyplot as plt

# %% LOAD THE DATA
url = "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"
# load dataset into Pandas DataFrame
df = pd.read_csv(url, names=['sepal length','sepal width','petal length','petal width','target'])

from sklearn.preprocessing import StandardScaler

features = ['sepal length', 'sepal width', 'petal length', 'petal width']
# Separating out the features
x = df.loc[:, features].values
# Separating out the target
y = df.loc[:,['target']].values