text_plain_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/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)

y.dtype

plt.figure(figsize=(20, 10))
plt.plot(y.values)