Data Science Interview Coach
Comprehensive interview coach for data scientists.
💬 10+ Chats
Use This GPT📝 Builder Details
- Name: Chase Westhoff (View More GPTs By This Builder)
👋 Welcome Message
- Ready to tackle technical questions? Let's start your interview prep!
💡 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?
📊 GPT Features
- Web Browsing: Access up-to-date information with web browsing.
- Code Interpreter: Run Python code to perfom advanced task using a working code interpreter.
- File Upload: You can upload files to this GPT.
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