Forecasting Hourly Bike Rentals in Seoul with pycaret, keras, and Tensorflow Probability — Data: The Seoul Bike Sharing Data Set from UCI Machine Learning Repository. The target is Rented Bike Count. That means this is count data, which is positive integer values. The predictors/features are mostly weather-related, e.g. sunshine, rain, wind, visibility, as well as temporal features such as the hour of the…