In this module, we will cover methods for selecting a model, introduce the simplicity-accuracy balance, and then demonstrate strategies for model evaluation and performance improvement for the best possible application. We will also cover how to know your model is working in application.
Workshop
Model Building and Evaluation for Reduction of Errors in Application
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Workshop
An Introduction to Python for Data Science
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Workshop
Engineering your data for effective AI Model Development
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Workshop
Data Preparation for Creating AI-ready Quality Data