Data Science Pitfalls
Rajiv shares his insights on the common occurrence of target leakage in data science models, emphasizing the importance of understanding data elements to avoid errors. His hands-on learning approach and experience with a restaurant inspection model highlight the significance of thorough model debugging to prevent issues in production.In this clip
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Practical AI
When data leakage turns into a flood of trouble
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