Prepare data for machine-learning models with "MULTICLASS" Targets using the vtreat package and Python

Prepare data for machine-learning models with "MULTICLASS" Targets using the vtreat package and Python

Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
https://hub.knime.com/-/spaces/-/latest/~NOzxbvlolS1m8slq/

External resources

• Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” package
• Using vtreat with Multinomial Classification Problems
• Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
• VIDEO: vtreat for KNIME!