Logistic Regression

Logistic Regression

Logistic regression aims to solve classification problems. It does this by predicting categorical outcomes, unlike linear regression that predicts a continuous outcome.

Logistic Regression Example

from sklearn import linear_model
import pandas as pd

df = pd.read_csv("data.csv")

X = df[['Age']]
y = df['Purchased']

logr = linear_model.LogisticRegression()
logr.fit(X, y)

predicted = logr.predict([[25]])
print(predicted)