Practice Basic Text Classification with RNNs, or Implementing Apriori - Lab | Module 7: Advanced ML Topics & Ethical Considerations (Weeks 13) | Machine Learning
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Lab - Basic Text Classification with RNNs, or Implementing Apriori

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of RNNs in text classification?

πŸ’‘ Hint: Think about how memory affects understanding sequences.

Question 2

Easy

What does the term 'support' refer to in the context of the Apriori algorithm?

πŸ’‘ Hint: It indicates popularity among 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 does RNN stand for?

πŸ’‘ Hint: Focus on the concept of memory in sequences.

Question 2

True or False: LSTMs are specifically designed to handle long-term dependencies.

πŸ’‘ Hint: Think about the structure of LSTMs.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are tasked with creating a sentiment analysis model using LSTMs. Explain the architecture you would use and the reasoning behind each layer.

πŸ’‘ Hint: Consider the role each layer plays in processing the data.

Question 2

Given a dataset containing transactions for grocery items, write a function that implements the key steps of the Apriori algorithm.

πŸ’‘ Hint: Focus on the iterative process and how to use filtering effectively.

Challenge and get performance evaluation