text_plain_output_1.png image_output_1.png
import os

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from scipy.stats import norm, expon
from sklearn.feature_selection import mutual_info_classif, mutual_info_regression
from sklearn.preprocessing import OrdinalEncoder, OneHotEncoder, StandardScaler, minmax_scale
from sklearn.metrics import accuracy_score
from sklearn.model_selection import cross_val_score, train_test_split, cross_val_predict
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.linear_model import RidgeClassifierCV
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier
from sklearn.tree import DecisionTreeClassifier
from xgboost import XGBClassifier
from keras.layers import Dense
from keras.models import Sequential
from keras.regularizers import l1
from lightgbm import LGBMClassifier
from optuna import create_study
from optuna.visualization import plot_optimization_history, plot_parallel_coordinate, plot_contour, plot_slice, plot_param_importances, plot_edf
import os
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))