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Input: Ir = LinearRegression ( ) # Encapsulate the linear regression model into an object. Ir . fit ( x , y ) # Train

Input:
Ir = LinearRegression() # Encapsulate the linear regression model into an object.
Ir.fit (x,y) # Train the model on the dataset.
Step 4 Visualize the model.
Input:
w= Ir.coef_# Slope of the model
b= Ir.intercept_# Intercept of the model
print('Slope: ',w)
print('Intercept: ',b)
Output:
Slope: [4.98467124]
Intercept: -274.8769665187576
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