I am trying to understand what is the best possible way to execute a time series forecast. I am trying to forecast the number of employees that are going to call in sick on a given day. My data has the current features.
- Employee hometown
- Job title of employee
- Seniority of employee
- Day of week
- Week of Year
- Sick count
The Employee hometown, job title, and seniority columns are important because sick numbers historically are heavily dependent on these attributes. Also, I would like to execute an algorithm that also puts a heavier weight on 2021 and 2022 sick counts.
Any ideas would be greatly appreciated!