Uncover the factors that lead to employee attrition using IBM Employee Data
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Updated
Jul 23, 2019 - Jupyter Notebook
Uncover the factors that lead to employee attrition using IBM Employee Data
Historical battle simulation package for Python
A primer course on Data Science by Consulting & Analytics Club, IIT Guwahati
Leverage external data and non-traditional methods to accurately assess and shortlist candidates with the relevant skillsets, experience and psycho-emotional traits, and match them with relevant job openings to drive operational efficiency and improve accuracy in the matching process
In this project I wanted to predict attrition based on employee data. The data is an artificial dataset from IBM data scientists. It contains data for 1470 employees. Te dataset contains the following information per employee:
Using R to analyse the relationship between variables and attrition in Shanghai Ctrip call centre's WFH data.
NGO Fund Raising Attrition Churn Modelling
Developed a comprehensive HR analytics dashboard to monitor employee attrition, performance, and engagement, utilizing metrics like job role, education, and work-life balance for data-driven decision-making.
Built a model using XGBoost that predicts the chances of Attrition of an employee working at IBM with 84% Precision.
HR Data를 활용한 퇴사 예측 모델 구현 프로젝트입니다 📊 dashboard
This is a personal project carried out during the Future Clan Bootcamp using the Microsoft Power BI
This GitHub repository hosts a comprehensive HR attrition analysis report, providing valuable insights into employee turnover trends within an organization. The report includes in-depth statistical analysis, data visualizations, and actionable recommendations to help HR professionals and business leaders make informed decisions to reduce attrition.
Given the monthly information for a segment of employees for 2016 and 2017, predict whether a current employee will be leaving the organization in the upcoming two quarters (H1 2018)
This repository contains a collection of Data Science and Machine learning projects.
In this project, attrition prediction model was builded with the artificial neural networks.
This repository contains all the data related to the employee Attrition Prediction model
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