text_plain_output_1.png image_output_1.png
import os, glob
import pandas as pd
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style='whitegrid')
import warnings
warnings.filterwarnings('ignore')
from sklearn.model_selection import KFold
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler, Normalizer, MaxAbsScaler
from sklearn.preprocessing import StandardScaler, PowerTransformer, QuantileTransformer, LabelEncoder, OneHotEncoder, OrdinalEncoder
from xgboost import XGBRegressor
print('set up complete')