Predictive AI model creation, testing and usage

Type of course:

Digital learning, Lesson

Language:

Duration:

30 minutes

Workload:

2 hours

Proficiency:

Beginner

Target:

Professionals

This lesson provides a guide on how to use the frame work to create and select machine learning model that uses previously selected features (that describe the modeled process) to make decisions about the chosen process. The lesson also shows how to evaluate the prepared ML model and critically judge its results. It also presents ways to use the model. All the steps shown will use functions of the framework. The framework consists of Jupyter Notebook IDE (and other required and also provided packages) installed into a separate (and enclosed) environment created in the Anaconda Distribution.

Learning outcomes

The learner is able to use the framework functions to train and evaluate the predictive AI model for given task in the machining process domain after completing this lesson.
The learner is able to use the created predictive model in real-like conditions and critically judge its results and its overall effectiveness after completing this lesson.