Doing linear regression using python.

linear_regresssion.py

# TODO: Add import statements

import pandas as pd 
from sklearn import linear_model

# Assign the dataframe to this variable.
# TODO: Load the data
bmi_life_data = pd.read_csv("bmi_and_life_expectancy.csv") 

# Make and fit the linear regression model
#TODO: Fit the model and Assign it to bmi_life_model
bmi_life_model = linear_model.LinearRegression()


bmi_life_model.fit(bmi_life_data[['BMI']],bmi_life_data[['Life expectancy']])

 
# Mak a prediction using the model
# TODO: Predict life expectancy for a BMI value of 21.07931
laos_life_exp = bmi_life_model.predict(21.07931)