this is all about the data preprocessing

Preprocessing.ipynb

import numpy as np
import matplotlib.pyplot as pit
import pandas as pd

dataSet = pd.read_csv('SampleData.csv')
x = dataSet.iloc[:,:-1].values 
y = dataSet.iloc[:,-1].values

print(x)

print(y)

imputer = SimpleImputer(missing_values=np.nan,strategy='mean')
imputer.fit(x[:,1:3])
x[:,1:3]=imputer.transform(x[:,1:3])

from sklearn.impute import SimpleImputer