How to Save Trained Model using Joblib in Machine Learning

Program 1

import pandas as pd        # Version  2.2.2
import numpy as np         # Version 1.24.3
import matplotlib.pyplot as plt # Version 3.7.1
from sklearn import  linear_model # 1.5.1
import joblib
df=pd.read_csv("D://scikit_data/home/homeprices.csv")
print(df)
model=linear_model.LinearRegression()
model.fit(df.drop('price',axis='columns'),df.price)
print(model)
print("Model Predication: ",model.predict([[3400]]))
print("Model Coficient: ",model.coef_)
print("Model Intercept: ",model.intercept_)
joblib.dump(model,'model_joblib')
print("--------------File Dump-------------")
mymodel=joblib.load('model_joblib')
print(mymodel)
print("My Model Predication: ",mymodel.predict([[3400]]))
print("My Model Coficient: ",mymodel.coef_)
print("My Model Intercept: ",mymodel.intercept_)