In the Intro to ML course, we will begin by introducing the random forest algorithm, which can help solve both classification and regression problems. We’ll walk through an example use case using python’s sklearn package. We’ll also discuss ways to avoid overfitting our model - namely cross validation, hyperparameter tuning & feature importance
Saturday Oct 16th, 2:00pm to 2:45pm (GMT)
Allyson is a former Aggie that graduated with a B.S. Statistics and Computer Science. She currently works as a Software Engineer at Capital One. Previously, She worked at AT&T and TTI.
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