market-basket
market-basket — my Raindrop.io articles
Discover which statistical methods dominate healthcare, finance, tech, retail, and sports analytics, and why these industry-method pairings became indispensable standards.
Learn how to use Python's Apriori algorithm to find frequent itemsets in transaction data automatically.
Learn to calculate support, confidence, and lift metrics for market basket analysis using Python's mlxtend library.
Discover hidden customer purchasing patterns with market basket analysis to optimize product placement and increase sales.
Dynamic pricing remains a hotly contested concept in retail, particularly grocery. What if the pricing model was deployed solely to the benefit of consumers?
In this article, I'll take you through the task of Market Basket Analysis using Python. Market Basket Analysis using Python.
Create insights from frequent patterns using market basket analysis with Python
Explanation and examples of frequent itemset mining and association rule learning over relational databases in Python
Winner’s Interview: 2nd place, Kazuki Onodera
Have you ever wondered how often do you buy certain items together? Why do you buy some items together? How likely do you purchase an item…
Some Projects in the area of pattern / process mining - LaurinBrechter/PatternMining
Finding high-value patterns in transactions