Practice Basic Text Classification With Rnns, Or Implementing Apriori (Lab) - Advanced ML Topics & Ethical Considerations (Weeks 13)
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Basic Text Classification with RNNs, or Implementing Apriori

Practice - Basic Text Classification with RNNs, or Implementing Apriori

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of RNNs in text classification?

💡 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?

💡 Hint: It indicates popularity among transactions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does RNN stand for?

💡 Hint: Focus on the concept of memory in sequences.

Question 2

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

💡 Hint: Think about the structure of LSTMs.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Consider the role each layer plays in processing the data.

Challenge 2 Hard

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

💡 Hint: Focus on the iterative process and how to use filtering effectively.

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Reference links

Supplementary resources to enhance your learning experience.