When training a neural network to predict housing prices using a dataset that includes latitude and longitude as features, what is the most effective method to account for the physical dependency of location on price?

Real Exam

Creating a numeric column from a feature cross of latitude and longitude

0.0%

Providing latitude and longitude as input vectors to the neural net

0.0%

Creating a feature cross of latitude and longitude and bucketizing it at the minute level while using L1 regularization during optimization

100.0%

Creating a feature cross of latitude and longitude and bucketizing it at the minute level while using L2 regularization during optimization

0.0%

Google Professional Data Engineer