Feature Engineering in Machine Learning

Created: 2024-01-31Author: ramesh jajula

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PreProcessAI: Your guide to data preprocessing and feature engineering. Learn imputation, encoding, scaling, and more with Scikit-learn and Feature-engine tips.

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"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?"