house_rent.py

#!/usr/bin/env python
# coding: utf-8

# In[5]:


import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.linear_model import LinearRegression
import pickle


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dataset = pd.read_csv('house_rent.csv')


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X = dataset.iloc[:, :3]
y = dataset.iloc[:, -1]


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regressor = LinearRegression()


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regressor.fit(X, y)


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pickle.dump(regressor, open('model.pkl','wb'))


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model = pickle.load(open('model.pkl','rb'))


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print(model.predict([[1, 1, 2]]))


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