1. Business Problem 1.1 . What is the business objective ? 1.2 . Are there any constraints? 2. Work on each feature of the dataset to create a data dictionary as displayed in the below image: Name of Feature Description Type Relevance ID Customer ID Quantitative, Nominal| Irrelevant, ID does not provide useful information 3. Data Pre-processing 3.1 Data Cleaning, Feature Engineering, etc. 4. Model Building 4.1 Application of Apriori Algorithm 4.2 Build most frequent item sets and plot the rules 4.3 Work on Codes 5. Deployment 5.1 Deploy solutions 6. Write about the benefits/impact of the solution - in what way does the business (client) benefit from the solution provided? Problem Statement: - Kitabi Duniya, a famous book store in India, which was established before Independence, the growth of the company was incremental year by year, but due to online selling of books and wide spread Internet access its annual growth started to collapse, seeing sharp downfalls, you as a Data Scientist help this heritage book store gain its popularity back and increase footfall of customers and provide ways the business can improve exponentially, apply Association RuleAlgorithm, explain the rules, and visualize the graphs for clear understanding of solution