To implement Logistic Regression (Python)

import pandas as pd

"""

import matplotlib.pyplot as plt

"""

from sklearn.linear_model import LogisticRegression

df=pd.read_csv("/home/aiktc/Desktop/ins.csv")

lr=LogisticRegression()

lr.fit(df[['age']],df.insurance)

print("Prediction= ",lr.predict([[38]]))

Dataset:

age,insurance

23,0

19,0

44,1

50,1

39,0

25,0

29,0

51,1

Output:

Prediction=  [1]