/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

3 votes302 views3 answers
Count missing values by column in pandas
Python
11 votes348 views3 answers
Send message to specific channel discord.py
Python
0 vote325 views1 answer
Branchless if python
Python
1 vote304 views10 answers
Test
Python
11 votes314 views1 answer
Python discord
Python
1 vote269 views2 answers
Normalize = true pandas
Python
0 vote295 views2 answers
Pandas series to numpy array
Python
1 vote350 views2 answers
Django url static
Python
0 vote292 views2 answers
NameError: name 'request' is not defined
Python
-1 vote312 views1 answer
'DataFrame' object has no attribute 'as_matrix'
Python