/Python/Numpy method to make polynomial model

Numpy method to make polynomial model

import numpy as np
import matplotlib.pyplot as plt

x = [1,2,3,5,6,7,8,9,10,12,13,14,15,16,18,19,21,22]
y = [100,90,80,60,60,55,60,65,70,70,75,76,78,79,90,99,99,100]

#a method that lets us make a polynomial model:
model = np.poly1d(np.polyfit(x,y,3))

#Then specify how the line will display, we start 
#at position 1, and end at position 22
line = np.linspace(1, 22, 100)


plt.scatter(x, y)
plt.plot(line, model(line))
plt.show()

Plynomial regression implementation python

poly = PolynomialFeatures(degree=2)
X_F1_poly = poly.fit_transform(X_F1)

X_train, X_test, y_train, y_test = train_test_split(X_F1_poly, y_F1,
                                                   random_state = 0)
linreg = LinearRegression().fit(X_train, y_train)

Similar codes

0 vote227 views1 answer
Selenium save webpage as pdf python
Python
0 vote277 views1 answer
Python fibonacci series (Recursion)
Python
1 vote227 views2 answers
How to make a random question generator in python
Python
73 votes257 views1 answer
How to install pip in anaconda
Python
0 vote243 views1 answer
Python plot jpg image
Python
11 votes236 views4 answers
Flask debug
Python
0 vote239 views1 answer
How to save an object in python to disk
Python
0 vote234 views1 answer
Remove dict last element
Python
0 vote289 views6 answers
Django wht post save signal not firing
Python Django
6 votes241 views1 answer
How to reverse word order in python
Python