XYZ Metro allows commuters to carry bicycles weighing less than 10kgs on the metro. As a data scientist, you are entrusted with responsibility of developing a model to predict the number of bicycles that may be carried on a daily basis at each metro station. Assume that historical data for 100 days is available with the XYZ metro. What techniques would you employ in Data understanding, data preparation and data modelling phase of the project? Enlist the independent and dependent variables, and their corresponding types, for building the prediction model. Make suitable assumptions, as applicable.