The goal of this assignment is to implement the Apriori algorithm to discover association rules withina grocery store dataset. Students will gain hands$-$on experience in data mining and association rulelearning.Dataset:Use the following grocery store transaction dataset:Transaction $1$: Chips, Soda, Ice CreamTransaction $2$: Soda, Cookies, DipTransaction $3$: Chips, Cookies, Ice CreamTransaction $4$: Chips, Soda, CookiesTransaction $5$: Chips, Soda, Ice CreamTransaction $6$: Chips, Soda, Cookies, DipTransaction $7$: Chips, Cookies, DipTransaction $8$: Cookies, Ice CreamTransaction $9$: Soda, DipTransaction $10$: 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 togenerate 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 theinterpretation of results.