How do I implement regularization in Python for machine learning?

How do I implement regularization in Python for machine learning?

You can implement regularization in Python using libraries like scikit-learn. Would you like an example?

Yes, please provide an example using Lasso regression.

Sure! Here's a simple example:

from sklearn.linear_model import Lasso

# Sample data
X = [[1, 2], [2, 3], [3, 4], [4, 5]]
y = [1, 2, 3, 4]

# Create a Lasso regression model
model = Lasso(alpha=0.1)
model.fit(X, y)

# Make predictions
predictions = model.predict([[5, 6]])
print(predictions)

What does the alpha parameter do in Lasso regression?

The alpha parameter controls the strength of the regularization. A higher alpha means more regularization, which can help prevent overfitting.