text_plain_output_1.png
import os

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.preprocessing import OrdinalEncoder
from xgboost import XGBRegressor
import random
from sklearn.model_selection import KFold
from sklearn.metrics import mean_squared_error
import os
for dirname, _, filenames in os.walk('/kaggle/input/'):
    for filename in filenames:
        print(os.path.join(dirname, filename))