Hey guys I have data which has tons of missing dates which means the event is not regular like event a is happening on x date and then second event a will happen after one month so I want to forecast count of people for event a then how should I handle missing dates in time series

I'm not a data scientist or statistician, but i think intermittent or sparse algos are probably your best bet here