find the risk of a car when given speed, car ages, driver experience using Machine learning (ML)

 import pandas as pd

import numpy as nb

from sklearn import linear_model

df=pd.read_csv('car data.csv')

# print(df)

# print()

# print(df.experience)

exp_fit=df.experience.median()

# print(exp_fit)

df.experience=df.experience.fillna(exp_fit)

# print(df.experience)

reg=linear_model.LinearRegression()

reg.fit(df[['speed','car_age','experience']],df.risk)

print(reg.predict([[140,11,5]]))

print(reg.coef_)

print(reg.intercept_)