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Predict the trend in absenteeism of employees of a given company and what actions should the company undertake to reduce such absenteeism.

An analytical project focused on exploring and predicting employee absenteeism using data mining and statistical techniques. It aims to identify patterns, trends, and potential factors contributing to workplace absences.

The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue which eventually leads toward the absence of an employee and provide a proper solution to reduce the absenteeism

Trainee Attendance tracking is a way to keep track of Trainee attendance and absenteeism. It's used to record employee work hours (their productivity and overtime) and plan and allocate their off times

Project on Absenteeism at Work

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This GitHub repository contains a comprehensive analysis of employee absenteeism at work using a real-world dataset. The project leverages Python and popular data analysis libraries to explore, visualize, and draw insights from the data.

This project exposes an analysis of worker absenteeism at work from the ascertained Data-set of employees' records of their given individual and adept information(July 2007 to July 2010).

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The project employee absenteeism solves the problem of employee absenteeism at some extent by analysing the major reasons for absenteeism and also developing machine learning models in R and python to predict the future absenteeism and the loss the company will face

Multivariate Time Series

Employee Absenteeism

Predict absenteeism in employees

The objective of this case is to identify the reason of absenteeism of employees in a company.

Employee-Absenteeism-Project-Work

Analysis on Employee Absenteeism

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XYZ is a courier company. As we appreciate that human capital plays an important role in collection, transportation and delivery. The company is passing through genuine issue of Absenteeism. The company has shared it dataset and requested to have an answer on the following areas: 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?

Employee Absenteeism is the absence of an employee from work. Its a major problem faced by almost all employers of today. Employees are absent from work and thus the work suffers. Absenteeism of employees from work leads to back logs, piling of work and thus work delay.

Analysis and Prediction

Data Science project on behavior of absenteeism of employees in R and Python

This project is focused on data cleaning and preprocessing of the data . I have used pandas, numpy

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Data analytics project to predict employee absenteeism in a firm

The Prediction of Employee Absenteeism at Work

Prediction of Absenteeism duration at work.

Supervised Machine learning (SVN, Naive Bayes, Random Forest)

The objective of this Case Study is to analyze and forecast the employee absenteeism rate based on the multivariate time series data