/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 vote330 views2 answers
Join in pathlib path
Python
15 votes333 views5 answers
Throw error in python
Python
0 vote319 views1 answer
Display pil image on kivy canvas
Python
3 votes329 views2 answers
Python run batch file
Python
26 votes326 views1 answer
Dict from two lists
Python
5 votes360 views3 answers
Convert json to csv
Python
0 vote315 views2 answers
Message: 'geckodriver' executable needs to be in PATH.
Python
0 vote317 views1 answer
Pass in 2 numbers, A and B. You should create a list with A rows and B columns, then populate each cell
Python
0 vote305 views1 answer
Data dictionary python into numpy
Python
6 votes308 views3 answers
Virtual environment mac
Python