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Data processing and feature extraction

By Czech Technical University

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

30 minutes

Workload:

2 hours

Proficiency:

Beginner

Target:

Professionals

This lesson provides a guide on how to use the framework to visualize and process data, that were measured during the machining process (provided) to create and select features used in Machine learning. 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.


Topics

Advanced Manufacturing, Digital Transformation, CNC Machining, Artificial Intelligence (AI), Programming, Data Analytics

Provided by

Content created in 2023
+224 enrolled
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