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

pd.read_csv('/kaggle/input/30-days-of-ml/sample_submission.csv').head(5)

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

train.columns

train.isna().sum().sum()

cont = train[['cont0', 'cont1', 'cont2', 'cont3', 'cont4', 'cont5', 'cont6', 'cont7', 'cont8', 'cont9', 'cont10', 'cont11', 'cont12', 'cont13']]

cont.corr().style.background_gradient(cmap='coolwarm').set_precision(5)