The goal of this assignment is to implement the Apriori algorithm to discover association rules within a grocery store dataset. Students will gain hands-on experience in data mining and association rule learning. Dataset: Use the following grocery store transaction dataset: Transaction 1: Chips, Soda, Ice Cream Transaction 2: Soda, Cookies, Dip Transaction 3: Chips, Cookies, Ice Cream Transaction 4: Chips, Soda, Cookies Transaction 5: Chips, Soda, Ice Cream Transaction 6: Chips, Soda, Cookies, Dip Transaction 7: Chips, Cookies, Dip Transaction 8: Cookies, Ice Cream Transaction 9: Soda, Dip Transaction 10: Chips, Soda, Cookies, Ice Cream Set a minimum support threshold (e.g., 30%) and identify frequent itemsets. Generate Association Rules: - Set a minimum confidence threshold (e.g., 80%) and use the frequent itemsets to generate association rules. Interpretation and Analysis: - Analyze the generated association rules. - Provide insights into the relationships between different items based on the rules. Documentation: - Document the entire process, including explanations of parameter choices, and the interpretation of results.