/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 vote177 views1 answer
ModuleNotFoundError: No module named 'django.db.models.enums'
Python Django
0 vote179 views1 answer
Pandas save csv list as columns
Python
2 votes152 views2 answers
Python read requests response
Python
0 vote216 views1 answer
F-string print
Python
5 votes201 views3 answers
Update in django orm
Python Django
4 votes135 views1 answer
Python data structures
Python
0 vote159 views1 answer
Get random line from file python
Python
0 vote157 views1 answer
Extract all capital words dataframe
Python
0 vote156 views1 answer
Import data in pandad
Python
31 votes135 views1 answer
Control tor browser with python
Python