text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

train = pd.read_csv('../input/tabular-playground-series-sep-2021/train.csv', index_col=0)
test = pd.read_csv('../input/tabular-playground-series-sep-2021/test.csv', index_col=0)

train_row, train_col = train.shape
test_row, test_col = test.shape

train.corr()

train.corrwith(train['claim'])

plot , ax = plt.subplots(figsize=(10,8))
sns.heatmap(train.corr())

plot, ax = plt.subplots(figsize=(10, 8))
sns.countplot(train['claim'])