text_plain_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

train = pd.read_csv('../input/30-days-of-ml/train.csv')
test = pd.read_csv('../input/30-days-of-ml/test.csv')
ss = pd.read_csv('../input/30-days-of-ml/sample_submission.csv')

train_df = train.drop('id', axis=1)

def get_unique_sum(cat_list):
    pass
cat_lists = list(train.select_dtypes('object').columns)
get_unique_sum(cat_lists)

X = train.drop(['id', 'target'], axis=1)
y = train['target']
test_df = test.drop('id', axis=1)

train['kfold'] = -1
train.head()