text_plain_output_1.png
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import math
import random
from sklearn.metrics import mean_squared_error
from sklearn import metrics
from sklearn.linear_model import ElasticNet
from sklearn.model_selection import RandomizedSearchCV
import pickle
from sklearn.model_selection import train_test_split
from tqdm import tqdm
from sklearn.utils import shuffle
import warnings
warnings.filterwarnings('ignore')
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))