Data Science Interview Coach by Chase Westhoff
Last updated on July 10, 2024 Engagement: Over 100 ConversationsComprehensive interview coach for data scientists.
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Chase Westhoff View Author GPTs
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Prompt Starters
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What is overfitting, how do you identify it, and how can you address it?
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Explain how you would deploy a model on AWS and monitor its performance.
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How would you approach a linear regression problem with multicollinearity?
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How would you optimize a SQL query for large datasets?
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What should be considered when choosing a model?
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Can you explain the difference between supervised, unsupervised, and reinforcement learning?
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What is a ROC curve and what does it tell you?
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What are Type I and Type II errors? Define both and explain their implications in statistical hypothesis testing.
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How do you handle missing or corrupted data in a dataset?
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What is cross-validation, and why is it important?
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Explain the bias-variance tradeoff.
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What are the assumptions required for linear regression?
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Features and Functions
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Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
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Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
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Knowledge file: This GPT includes data from 7 files.
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