I have this data set for crimes of a 12 month time period, over 250k rows. I want to predict future crimes by date and location
Also I would say think about the implications of your model (even if it is just some toy data). 

If your model has overtly data from one location and not the other you might end up introducing some bias in your data - some crimes are not always known to the authorities. Crime is a very complex topics are your features relevent to the problem? Maybe some other features should be in the dataset and they are not?

Models applied in "high stake scenarios" often discussed on topics such as the fairness of AI should be very carefully validated. Once again that is just some toy data, but I thought it was noteworthy.