application_vnd.jupyter.stderr_output_1.png
import pandas as pd

train = pd.read_csv('../input/tabular-playground-series-aug-2021/train.csv')
test = pd.read_csv('../input/tabular-playground-series-aug-2021/test.csv')
sample_sub = pd.read_csv('../input/tabular-playground-series-aug-2021/sample_submission.csv')
pseudo = pd.read_csv('../input/blending-tool-tps-aug-2021/file1_7.85192_file2_7.85244_blend.csv')

(test.shape, train.shape)

train.drop(['id'], axis=1, inplace=True)
test.drop(['id'], axis=1, inplace=True)

(test.shape, train.shape)

test.fillna(0, inplace=True)
train.fillna(0, inplace=True)

corr = train.corr()
columns_to_delete = corr[corr.loss < 0.001][corr.loss > -0.001].index