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import warnings
warnings.simplefilter('ignore')
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import pickle

#pickle is used to save the model created by us
df = pd.read_csv('D:/Data Science/Letsupgrade/Projects/Project 5/Regression for predicting expenses/Material/hiring.csv')
df.head()
df.shape
(8, 4)