The quality of the features used when building a machine learning model directly affects the quality of the model’s predictions. It’s not always about what model you used but what type of data you feed into your data. With bad data, machine learning algorithms will produce results that are inaccurate or incomprehensible. In this workshop, we’ll be exploring feature selection and transformation techniques that can be used to improve model quality and performance.
The following week, we will be offering Office Hours on Discord! The presenter and other CAIS executives will be available to answer questions about the workshop content and other information! Check it out:
Event Expiry Date - Thursday, November 25, 2021
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