Regression python

Scikit learn linear regression

from sklearn.linear_model import LinearRegression
X = np.array([[1, 1], [1, 2], [2, 2], [2, 3]])
y = np.dot(X, np.array([1, 2])) + 3
reg = LinearRegression().fit(X, y)
reg.score(X, y)
reg.coef_
reg.intercept_
reg.predict(np.array([[3, 5]]))

Source: scikit-learn.org

Regression python

# pip install polynomial-regression-model
from polynomial_regression.main import regress
dataset1 = [1, 2, 3, 4, 5]
dataset2 = [2, 3, 4, 5, 6]
regression = regress(dataset1, dataset2)

Similar codes

1 vote205 views1 answer
Find index of max value in 2d array python
Python
0 vote189 views4 answers
How to convert array of arrays into single array with unique values in numpy
Python
0 vote181 views2 answers
Change markersize in legend matplotlib
Python
2 votes187 views1 answer
Import crypto python
Python
2 votes195 views1 answer
Python how to replace a certain string in text
Python
0 vote185 views1 answer
Transcript with timestamps in python
Python
3 votes182 views2 answers
Scapy python functions
Python
10 votes185 views4 answers
Check the role of user in on_message discord.py
Python
0 vote192 views1 answer
Extract first word from string in column into a list in python
Python
0 vote193 views1 answer
Python convert png to jpg
Python