text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png image_output_1.png
import pandas as pd

import seaborn as sns

data_train = pd.read_csv('D:\\projects ML\\titanic\\train.csv')

data_train.shape

data_train.isnull().sum()

data_train = data_train.drop(columns='Cabin', axis=1)

data_train.isnull().sum()

sns.set()

sns.countplot('Age', hue='Survived', data=data_train)