Market Basket Analysis Using Apriori in Python

Market basket analysis is a data mining technique used in retail to discover associations and patterns in customers' purchasing behavior. The goal of market basket analysis is to identify which items are frequently purchased together, and to use this information to make decisions about product placement, cross-selling, and other marketing strategies.
Apriori is one of the most popular algorithms for performing market basket analysis. The Apriori algorithm works by iteratively generating frequent itemsets, or sets of items that appear together in a significant number of transactions. It uses a minimum support threshold to determine which itemsets are frequent and can be used to generate association rules.
Association rules are used to identify interesting relationships between items in the dataset. They consist of an antecedent (a set of items that are present in the transaction) and a consequent (a set of items that are often purchased together with the antecedent). The strength of an association rule can be measured using several metrics, including:
1. Confidence: the proportion of transactions containing the antecedent that also contain the consequent.
2. Lift: the ratio of the observed support of the antecedent and consequent to the expected support if the antecedent and consequent were independent.
3. Coverage: the proportion of transactions that contain the antecedent.
4. Leverage: the difference between the observed support of the antecedent and consequent and the expected support if the antecedent and consequent were independent.
By analyzing these metrics, retailers can gain insights into which items are frequently purchased together and can use this information to optimize their product offerings and marketing strategies.

[@TeeFat]

Thank you. This is very helpful. Thank you for sharing the data.

[@collinsgift5554]

So detailed 👏

[@demovement546]

How do I get the dataset used in the video?

[@theoutlier7395]

drive.google.com/file/d/1C74CnzTLYEj-fWo-YdZCaSUx2Ml10ZHF/view?usp=sharing

[@mncedisikheswa193]

Where can I get the data file (Retail_Data.csv) you have used??

[@theoutlier7395]

drive.google.com/file/d/1C74CnzTLYEj-fWo-YdZCaSUx2Ml10ZHF/view?usp=sharing

[@tranthiphuong0208]

Can you open file permissions?@@theoutlier7395

[@rohitjadhav5042]

sir i have sent you the request to download data set.. Kindly approve the same