Multi-class Classification with Linear and Boosted Trees Classifier Introduction Machine learning models include the step of preprocessing or feature engineering before the data is actually trainable. Feature Engineering includes normalizing and scaling data, encoding categorical values as numerical values, forming vocabularies, and binning of continuous numerical values. Distributed frameworks like Google Cloud Dataflow or Apache Spark are often well known for applying large scale data preprocessing. To remove the inconsistency between training and serving ML models from […]
