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Data Science Interview Coach by Chase Westhoff

4,7 - (3) Reviews - Created on január 08, 2024
Last updated on július 10, 2024 Engagement: Over 100 Conversations

Comprehensive interview coach for data scientists.

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Chase Westhoff View Author GPTs
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Prompt Starters

  • What is overfitting, how do you identify it, and how can you address it?
  • Explain how you would deploy a model on AWS and monitor its performance.
  • How would you approach a linear regression problem with multicollinearity?
  • How would you optimize a SQL query for large datasets?
  • What should be considered when choosing a model?
  • Can you explain the difference between supervised, unsupervised, and reinforcement learning?
  • What is a ROC curve and what does it tell you?
  • What are Type I and Type II errors? Define both and explain their implications in statistical hypothesis testing.
  • How do you handle missing or corrupted data in a dataset?
  • What is cross-validation, and why is it important?
  • Explain the bias-variance tradeoff.
  • What are the assumptions required for linear regression?

Features and Functions

  • 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.
  • 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.
  • Knowledge file: This GPT includes data from 7 files.
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