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Clarification on Employee Absenteeism prediction kaggle dataset

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@chandrakanth98 wrote:

Hello,
What is the best approach to solve below two questions from given data without using Time Series Analysis

  1. What changes company should bring to reduce the number of absenteeism?
  2. How much losses every month can we project in 2011 if same trend of absenteeism continues?

In Variable description Column 21 "Absenteeism time in hours " as mentioned as Target Variable

If i use regression model than how do answer those above two questions

Can i use K Means clustering here ? if we use K means clustering that data set contains both continuous and Categorical data , how do i proceed here

Pleas let me know effective way to answer those above two questions (I should not use Time Series Analysis here)

Data and other details present in below url

i have to submit this project but i don’t know which approach do i follow.

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