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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is poor quality data?
💡 Hint: Think about the condition of the data.
Question 2
Easy
Define overfitting.
💡 Hint: Consider too much focus on training data.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a challenge of poor quality data?
💡 Hint: Think about how data influences results.
Question 2
True or False: Overfitting occurs when a model learns too little.
💡 Hint: Consider the impact on training data reflex.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
You are given a dataset that is heavily biased towards one demographic group. How would you approach adjusting your model to account for this bias?
💡 Hint: Consider alternative data sources.
Question 2
A model trained on a dataset is performing poorly in real-world conditions. Discuss ways you could improve its performance based on data quality issues.
💡 Hint: Think about the data preparation steps.
Challenge and get performance evaluation