42.39. Low code/no code Data Science project on Azure ML

42.39.1. Instructions

We saw how to use the Azure ML platform to train, deploy and consume a model in a Low code/No code fashion. Now, look around for some data that you could use to train an other model, deploy it and consume it. You can look for datasets on Kaggle and Azure Open Datasets.

42.39.2. Rubric

Exemplary	Adequate	Needs Improvement
When uploading the data you took care of changing the feature’s type if necessary. You also cleaned the data if needed. You ran a training on a dataset through AutoML, and you checked the model explanations. You deployed the best model and you were able to consume it.	When uploading the data you took care of changing the feature’s type if necessary. You ran a training on a dataset through AutoML, you deployed the best model and you were able to consume it.	You have deployed the best model trained by AutoML and you were able to consume it.

42.39.3. Acknowledgments

Thanks to Microsoft for creating the open-source course Data Science for Beginners. It inspires the majority of the content in this chapter.