▶ Boosting - Regressor from sklearn.datasets import load_diabetes from sklearn.ensemble import GradientBoostingRegressor from sklearn.model_selection import train_test_split from sklearn.metrics import mean_squared_error, r2_score import numpy as np import pandas as pd from sklearn.preprocessing import MinMaxScaler x, y = load_diabetes(return_X_y=True) x = MinMaxScaler().fit_transform(x) x_train..