Challenge: FP-growth Implementation
Swipe to start coding
FP-growth algorithm can be easily implemented using the mlxtend
library.
You need to use fpgrowth(encoded_data, min_support)
function to get frequent itemsets on the generated dataset. Use 0.05
as a minimum support value.
Note
Pay attention that we have to one-hot-encode the transaction dataset to use the FP-growth algorithm in this task.
Solution
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Challenge: FP-growth Implementation
Glissez pour afficher le menu
Swipe to start coding
FP-growth algorithm can be easily implemented using the mlxtend
library.
You need to use fpgrowth(encoded_data, min_support)
function to get frequent itemsets on the generated dataset. Use 0.05
as a minimum support value.
Note
Pay attention that we have to one-hot-encode the transaction dataset to use the FP-growth algorithm in this task.
Solution
Merci pour vos commentaires !
Awesome!
Completion rate improved to 6.67single