fast_recommender

import pandas as pd
data = pd.read_csv('sepet_verileri.csv')
print(data.head())
from mlxtend.frequent_patterns import apriori, association_rules


basket = pd.get_dummies(data.set_index('Sipariş No')['Ürün Adı'])
basket = basket.groupby('Sipariş No').sum()

# Apriori 
frequent_itemsets = apriori(basket, min_support=0.05, use_colnames=True)

# rules_table
rules = association_rules(frequent_itemsets, metric="lift", min_threshold=1)


print(rules)