How can I use ensemble methods in Python for my machine learning project?

How can I use ensemble methods in Python for my machine learning project?

Ensemble methods combine multiple models to improve performance. You can use libraries like scikit-learn to implement them.

What are some common ensemble methods I should know about?

Common ensemble methods include Bagging, Boosting, and Stacking. Each has its own advantages depending on the problem.

Can you give me an example of using Random Forest in Python?

Sure! Here's a simple example:

from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import load_iris

# Load dataset
iris = load_iris()
X, y = iris.data, iris.target

# Create Random Forest model
model = RandomForestClassifier(n_estimators=100)
model.fit(X, y)