text_plain_output_1.png
import pandas as pd

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

train.dtypes

cat_cols = [col for col in train.columns if train[col].dtype == 'object']
cat_cols

cont_cols = [col for col in train.columns if train[col].dtype != 'object' and col not in ('id', 'target')]
cont_cols

train['target'].describe()