%matplotlib inline

 data = loadtxt("kankore.csv",delimiter=",")

data

x_act= data[:,0]

x_act

y_act = data[:,1]

import pylab as pl

pl.plot(x_act, y_act)

from sklearn.linear_model import Ridge

degree = 5

ridge = Ridge()
ridge.fit(np.vander(x_act, degree + 1), y_act)

x_pred = x_act

x_pred2 = array([400, 450, 500])

x_pred = hstack([x_pred, x_pred2])

x_pred

 pl.plot(x_pred, ridge.predict(np.vander(x_pred, degree + 1)),
            label="degree %d" % degree)

ridge.predict(np.vander(x_pred, degree + 1))

pl.scatter(x_pred, ridge.predict(np.vander(x_pred, degree + 1)), label="training points")