To read the given data and perform Feature Generation process and save the data to a file.
Feature Generation (also known as feature construction, feature extraction or feature engineering) is the process of transforming features into new features that better relate to the target.
Read the given Data
Clean the Data Set using Data Cleaning Process
Apply Feature Generation techniques to all the feature of the data set
Save the data to the file
NAME: DHIVYAPRIYA. R
REG.NO: 212222230032
import pandas as pd
df=pd.read_csv('/content/Encoding Data.csv')
df.head()
df['ord_2'].unique()
from sklearn.preprocessing import LabelEncoder,OrdinalEncoder
climate = ['Cold','Warm','Hot']
en= OrdinalEncoder(categories = [climate])
df['ord_2']=en.fit_transform(df[["ord_2"]])
df
le = LabelEncoder()
df['Nom_0'] = le.fit_transform(df[["nom_0"]])
df
!pip install --upgrade category_encoders
from category_encoders import BinaryEncoder
be = BinaryEncoder()
data = be.fit_transform(df['bin_1'])
df = pd.concat([df,data],axis=1)
df
be = BinaryEncoder()
data = be.fit_transform(df['bin_2'])
df = pd.concat([df,data],axis=1)
df
df1 = pd.read_csv("/content/data.csv")
df1.head()
df1['Ord_1'].unique()
climate = ['Cold','Warm','Hot','Very Hot']
en= OrdinalEncoder(categories = [climate])
df1['Ord_1']=en.fit_transform(df1[["Ord_1"]])
df1
df1['Ord_2'].unique()
cl = ['High School','Diploma','Bachelors','Masters','PhD']
en= OrdinalEncoder(categories = [cl])
df1['Ord_2']=en.fit_transform(df1[["Ord_2"]])
df1
le = LabelEncoder()
df1['City'] = le.fit_transform(df1[["City"]])
df1
from category_encoders import BinaryEncoder
be = BinaryEncoder()
dat = be.fit_transform(df1['bin_1'])
df1 = pd.concat([df1,dat],axis=1)
df1
from category_encoders import BinaryEncoder
be = BinaryEncoder()
data1 = be.fit_transform(df1['bin_2'])
df1 = pd.concat([df1,data1],axis=1)
df1
df2 = pd.read_csv("/content/titanic_dataset.csv")
df2.head()
be = BinaryEncoder()
data2 = be.fit_transform(df2['Sex'])
df2 = pd.concat([df2,data2],axis=1)
df2
df2 = pd.get_dummies(df2, prefix=['Embarked'] ,columns=['Embarked'])
df2
RESULT
Thus the Feature Generation process is performed.