To generate a Python dataset, we use the Pandas to_pickle functionality. The dataset we plan to use is called adult.pkl, as shown in the following screenshot:
The related Python code is given here:
import pandas as pd
path="http://archive.ics.uci.edu/ml/machine-learning-databases/"
dataSet="adult/adult.data"
inFile=path+dataSet
x=pd.read_csv(inFile,header=None)
adult=pd.DataFrame(x,index=None)
adult= adult.rename(columns={0:'age',1: 'workclass',
2:'fnlwgt',3:'education',4:'education-num',
5:'marital-status',6:'occupation',7:'relationship',
8:'race',9:'sex',10:'capital-gain',11:'capital-loss',
12:'hours-per-week',13:'native-country',14:'class'})
adult.to_pickle("c:/temp...
