Supervised Learning Skill

Build, tune, and evaluate classification and regression models.

Quick Start

from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_val_score, train_test_split

# Split data
X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.2, stratify=y, random_state=42
)

# Train model
model = RandomForestClassifier(n_estimators=100, random_state=42)
model.fit(X_train, y_train)