Your First Model: Linear Regression

The Code

from sklearn.linear_model import LinearRegression

model = LinearRegression()

model.fit(X_train, y_train)

predictions = model.predict(X_test)

Evaluate with R-Squared

from sklearn.metrics import r2_score

print(f"R² Score: {r2_score(y_test, predictions):.2f}")

*Day 128: Logistic Regression for Classification.*