💡[Feature]: Market Basket Analysis using ML

[ashis2004]

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Feature Description

Market basket analysis is a data mining technique that analyzes customer purchasing patterns by finding associations between different items bought together. One of the most common methods for market basket analysis is using association rule learning.

1. Import the Necessary Libraries
2. Load the Dataset
3. Preprocess the Data
4. Apply the Apriori Algorithm
5. Generate Association Rules
6. Analyze the Results

Use Case

the retail company can increase sales, improve customer satisfaction, and optimize inventory management.

Benefits

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Priority

High

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• I have read the Contributing Guidelines
• I'm a GSSOC'24 contributor
• I want to work on this issue