Practice Implementing Apriori Algorithm (Conceptual/Pseudocode Walkthrough) - Lab.Option B | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 13) | Machine Learning
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Lab.Option B - Implementing Apriori Algorithm (Conceptual/Pseudocode Walkthrough)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the Apriori algorithm primarily used for?

πŸ’‘ Hint: Think about mining techniques.

Question 2

Easy

How is support in the context of the Apriori algorithm defined?

πŸ’‘ Hint: It relates to frequency in transactions.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary goal of the Apriori algorithm?

  • A) Create new products
  • B) Identify frequent itemsets
  • C) Analyze time series data

πŸ’‘ Hint: Think about what mining techniques do.

Question 2

True or False: Lift measures the chance of association between two items independent of their popularity.

  • True
  • False

πŸ’‘ Hint: Consider how independence plays into association.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a transactional dataset of grocery purchases and your goal is to apply the Apriori algorithm. How would you go about it step by step?

πŸ’‘ Hint: Recall the iterative nature of the process.

Question 2

If an item's support is found to be 0.6 and the confidence of the rule involving this itemset is 0.9, what conclusions can be drawn about its purchase behavior?

πŸ’‘ Hint: Think about what these metrics together signify in terms of associations.

Challenge and get performance evaluation