In this section, we'll show how to build an experiment from scratch using a custom dataset. With the GUI, creating new experiments is very fast and results can be viewed immediately. Azure ML Studio contains modules for all common ML and data-processing tasks, so it is a great tool for testing ideas quickly and iteratively. If the built-in modules are not sufficient for the task at hand, the script modules can be used for improved extensibility, explained as follows.
Building an experiment
Importing and preprocessing data
As already discussed, Azure ML Studio is a complete ML tool that takes care of every step in the ML model development process. The only input needed is a raw dataset in a format understood by ML Studio...
