【机器学习】【贝叶斯算法】Python实现数据预处理实战演练(以购物数据为例)

import pandas as pd
from mlxtend.frequent_patterns import apriori
from mlxtend.frequent_patterns import association_rules
retail_shopping_basket = {'ID': [1, 2, 3, 4, 5, 6],
                          'Basket': [['Beer', 'Diaper', 'Pretzels', 'Chips', 'Aspirin'],
                                     ['Diaper', 'Beer', 'Chips', 'Lotion', 'Juice', 'BabyFood', 'Milk'],
                                     ['Soda', 'Chips', 'Milk'],
                                     ['Soup', 'Beer', 'Diaper', 'Milk', 'IceCream'],
                                     ['Soda', 'Coffee', 'Milk', 'Bread'],
                                     ['Beer', 'Chips']]
                          }
retail = pd.DataFrame(retail_shopping_basket)
retail =