Hello, I'm Adil Shamim

 # Machine Learning Pipeline with Scikit-learn
 import numpy as np
 from sklearn.model_selection import train_test_split
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.metrics import accuracy_score
                            
 # Load and prepare data
 X, y = load_data()
 X_train, X_test, y_train, y_test = train_test_split(
 X, y, test_size=0.25, random_state=42
 )
                            
 # Train model
 model = RandomForestClassifier(n_estimators=100)
  model.fit(X_train, y_train)
                            
 # Evaluate
 y_pred = model.predict(X_test)
 accuracy = accuracy_score(y_test, y_pred)
 print(f"Model accuracy: {accuracy:.2f}")