Untitled

import pandas as pd

filepath = "EmployeeRecord.csv"
employee_data = pd.read_csv(filepath)

print(employee_data.head())
employee_data['Salary'] = (employee_data['Years of Experience'] > 10).astype(int)
data = employee_data[['Education Level', 'Years of Experience', 'Job Title', 'Salary']]
from sklearn.preprocessing import LabelEncoder

label_encoder_edu = LabelEncoder()
label_encoder_job = LabelEncoder()

data['Education Level'] = label_encoder_edu.fit_transform(data['Education Level'])
data['Job Title'] = label_encoder_job.fit_transform(data['Job Title'])
X = data[['Education Level', 'Years of Experience', 'Job Title']]
y = data['Salary']