Simple Linear Regression:Template Code

slr.py

#Import Library
import numpy as np
import pandas as pd
from sklearn.linear_model import LinearRegression

#Load Train and Test datasets
#Identify feature and response variable(s)
x_train=input_variables_values_training_datasets
y_train=target_variables_values_training_datasets
x_test=input_variables_values_test_datasets

# Create linear regression object
linear = LinearRegression()

# Train the model using the training sets and check score
linear.fit(x_train, y_train)
linear.score(x_train, y_train)

#Equation coefficient and Intercept
print('Coefficient: \n', linear.coef_)
print('Intercept: \n', linear.intercept_)

#Make Prediction
predicted= linear.predict(x_test)