Feature Engineering in Machine Learning | Preprocessing - P41

Feature Engineering in Machine Learning | Preprocessing - P41

Topic to be covered - Feature Engineering

SibSp - No of Siblings / Spouses aboard the Titanic Ship

Parch - No of Parenst / Children aboard the Titanic Ship

Code Starts Here
===============

import pandas as pd
import warnings

warnings.filterwarnings('ignore')

train = pd.read_csv('train.csv')

train['Family'] = train['SibSp'] + train['Parch'] + 1

train['FamSize'] = train['Family']

train['FamSize'].loc[train['Family'] == 1] = 'Small'


train['Family'].loc[train['Family'] == 1] = 'Alone'

import matplotlib.pyplot as plt
import seaborn as sns

fig, (fig1,fig2) = plt.subplots(1,2,figsize=(10,5))
sns.barplot(data=train, x='Family',y='Survived', ax=fig1)
sns.countplot(data=train, x='Family',hue='Survived', ax=fig2)


fig, (fig3,fig4) = plt.subplots(1,2,figsize=(10,4))
sns.barplot(data=train, x='FamSize',y='Survived', ax=fig3)
sns.countplot(data=train, x='FamSize',hue='Survived', ax=fig4)

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https://www.youtube.com/playlist?list=PLE-8p-CwnFPuOjFcbnXLFvSQaHFK3ymUW

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