Data Science

Random Forests: The Power of Ensembles

Senior Data Analyst
May 11, 2026
5 min read

The Code

from sklearn.ensemble import RandomForestClassifier

model = RandomForestClassifier(n_estimators=100, random_state=42)

model.fit(X_train, y_train)

Feature Importance

importance = pd.Series(model.feature_importances_, index=X.columns).sort_values(ascending=False)

print(importance)

*Day 132: K-Means Clustering.*

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