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

(train.shape, test.shape, submission.shape)

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

train.nunique()

plt.figure(figsize=(15, 5))
sns.kdeplot(train['target'], shade=True, alpha=0.9, linewidth=1.5, facecolor=(1, 1, 1, 0), edgecolor='.2')
plt.title('Target', fontdict={'fontsize': 20})
plt.show()