Linear regression in 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

Linear regression in python

from sklearn.linear_model import LinearRegression
lm = LinearRegression()
lm.fit(X, y)

Python linear regression

from sklearn.linear_model import LinearRegression
#x, y = np.array([0,1,2,3,4,5])

model = LinearRegression().fit(x.reshape(-1,1), y.reshape(-1,1))
r_sq = model.score(x.reshape(-1,1), y.reshape(-1,1))
q = model.intercept_
m = model.coef_

y_fit = np.array([i*m[0] for i in x]+q[0])

Python linear regression

>>> from scipy import stats
>>> import numpy as np
>>> x = np.random.random(10)
>>> y = np.random.random(10)
>>> slope, intercept, r_value, p_value, std_err = stats.linregress(x,y)

Source: docs.scipy.org

Python linear regression

import seaborn as sb
from matplotlib import pyplot as plt
df = sb.load_dataset('tips')
sb.regplot(x = "total_bill", y = "tip", data = df)
plt.show()

Source: tutorialspoint.com

Similar codes

0 vote251 views6 answers
Idl else
Python
0 vote221 views10 answers
EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'
Python Django
0 vote210 views1 answer
Pandas get row if difference previous
Python
0 vote222 views1 answer
Conda enviroment python version
Python
66 votes186 views2 answers
'pip' is not recognized as an internal or external command, operable program or batch file.
Python
7 votes224 views2 answers
How to rotate image through mouse in pygame
Python
1 vote221 views1 answer
Make new app folder in django templates dir
Python
9 votes217 views1 answer
How to update a module in python
Python
0 vote213 views1 answer
Csv logger keras
Python
4 votes210 views3 answers
How to convert list into csv in python
Python