Evaluating a Data Model | Google Cloud Skills Boost
Learn the process for partitioning a data set into a training set that will be used to develop a model, and a test set that can then be used to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.
www.cloudskillsboost.google
이번 lab에서는 dataset을 training dataset과 test dataset으로 나누어 training dataset으로 model을 생성하고 test dataset으로 모델을 평가해보았다.
Jupyterlab으로 BigQuery에 저장된 데이터를 통해 모델을 생성하고 평가하였다.
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