A simple machine learning Sklearn

	import pandas as pd import matplotlib.pyplot as plt

from sklearn.linear_model import LinearRegression

data = pandas.read_csv('iphone_price.csv')

plt.scatter(data['version'], data['price'])

plt.show()

model = LinearRegression()

model.fit(data[['version']], data[['price']])

print(model.predict([[30]]))

 iphone file csv: download the csv