Feature Engineering in Machine Learning on the GPT Store
By ramesh jajulaShow 2+ GPTs by ramesh jajula
GPT Description
PreProcessAI: Your guide to data preprocessing and feature engineering. Learn imputation, encoding, scaling, and more with Scikit-learn and Feature-engine tips.
GPT Prompt Starters
- "How do I handle missing data in a dataset with both numerical and categorical variables?"
- "Can you explain the difference between One-hot encoding and Target mean encoding?"
- "What's the best way to deal with outliers in my dataset?"
- "How do I use Scikit-learn to implement feature scaling in my preprocessing pipeline?"
- "Could you guide me through creating new features from datetime variables?"
Feature Engineering in Machine Learning GPT FAQs
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