Setup: Initiated a Django project and configured the necessary settings.Database Integration: Designed models to store transactional data efficiently.Data Collection: Acquired transactional data containing item sets.Preprocessing: Prepared the data by cleaning and formatting it for analysis.Market Basket Analysis: Utilized algorithms like Apriori to extract frequent item sets and association rules.Implementation: Integrated the analysis results into your Django project, possibly through views or APIs.Visualization: Presented the association rules and item sets in a user-friendly manner, possibly through charts or graphs.Testing and Optimization: Ensured the accuracy of the analysis and optimized performance where necessary.Documentation: Documented the project, including implementation details and instructions for future reference.Deployment: Deployed the project to a production environment for public access.