When should you convert Age column in float or int?
Its better to convert the age column in to int. If some junk values would come, it would impact the model. We both knows quite well that age is an integer.
If data quality is superior and you are sure that age wont come in float then you can proceed without conversion too.
I had this doubt, often datasets have the Age column values in either int or float datatype (Eg Titanic).
So suppose the column has all float values, should you convert them all to int or let it be just like that while feeding it to ML Model,
Does it have any harm or adverse effects in prediction results and what's the right way?