How do you use Azure ML for best model selection and featurization? (19 of 28)

During training, the Azure Machine Learning service creates a number of in parallel pipelines that try different algorithms and parameters. When configuring your experiments, you can enable the advanced setting featurization, that can help you with automatic data cleansing, preparing, and transformation to generate synthetic features. https://www.aka.ms/AutomatedML https://www.aka.ms/AutoMLfeaturization 

For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy . Also, if you need any further assistance then you can raise a support ticket and get it addressed.