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🔵 Feature Engineering

Machine Learning & Art
Machine Learning & Art
“Often for structured data problems we end up using multiple libraries for preprocessing or feature engineering. We can go as far as having a full ML training pipeline using different libraries for example Pandas for reading data and also feature engineeering, sklearn for encoding features for example OneHot encoding and Normalization. ”

Feature Engineering using Keras Lambda Layers for complete training pipeline.
End-to-End Machine Learning Workflow
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