# 📊 DarkAIs XGBoost Pipeline Starter
import numpy as np
import pandas as pd
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.impute import SimpleImputer
import xgboost as xgb

def build_pipeline():
    pipeline = Pipeline([
        ('imputer', SimpleImputer(strategy='median')),
        ('scaler', StandardScaler()),
        ('model', xgb.XGBClassifier(n_estimators=100, learning_rate=0.05, max_depth=5, random_state=42))
    ])
    return pipeline

print("✓ DarkAIs Data Science Pipeline Ready.")