Create models/model.py

models/model.py

@@ -0,0 +1,16 @@
+from sklearn.ensemble import RandomForestClassifier
+
+def train_model(X_train, y_train):
+    """
+    Train a Random Forest Classifier.
+    
+    Args:
+        X_train (pd.DataFrame): Training features.
+        y_train (pd.Series): Training labels.
+        
+    Returns:
+        model: Trained Random Forest model.
+    """
+    model = RandomForestClassifier(random_state=42)
+    model.fit(X_train, y_train)
+    return model