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.*