text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

train = pd.read_csv('../input/30-days-of-ml/train.csv', index_col=0)
test = pd.read_csv('../input/30-days-of-ml/test.csv', index_col=0)

train.shape

train.dtypes.value_counts()

y = train['target']
features = train.drop(['target'], axis=1)

object_cols = [col for col in features.columns if 'cat' in col]

y.dtype

for col in features.select_dtypes('float'):
    plt.figure()
    sns.histplot(features[col])