text_plain_output_1.png
from sklearn.utils import shuffle

import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

df_train = pd.read_csv('/kaggle/input/30-days-of-ml/train.csv')
df_test = pd.read_csv('/kaggle/input/30-days-of-ml/test.csv')

df_train.nunique()

df_train = df_train.drop(['id'], axis=1)

df_train = shuffle(df_train)

target = ['target']
var_categorical = ['cat0', 'cat1', 'cat2', 'cat3', 'cat4', 'cat5', 'cat6', 'cat7', 'cat8', 'cat9']
var_numerical = list(set(df_train.columns) - set(var_categorical) - set(target))

sns.boxplot(x=df_train['target'])
plt.show()