-
Updated
Sep 19, 2018 - Jupyter Notebook
attrition
Here are 30 public repositories matching this topic...
Built a model using XGBoost that predicts the chances of Attrition of an employee working at IBM with 84% Precision.
-
Updated
Feb 29, 2020 - Jupyter Notebook
HR Data를 활용한 퇴사 예측 모델 구현 프로젝트입니다 📊 dashboard
-
Updated
May 10, 2023 - Jupyter Notebook
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.
-
Updated
Jan 27, 2024
NGO Fund Raising Attrition Churn Modelling
-
Updated
Aug 30, 2019 - Jupyter Notebook
Using R to analyse the relationship between variables and attrition in Shanghai Ctrip call centre's WFH data.
-
Updated
Feb 17, 2020 - R
This repository contains all the data related to the employee Attrition Prediction model
-
Updated
Sep 9, 2017 - R
Uncover the factors that lead to employee attrition at IBM
-
Updated
Oct 27, 2019 - Jupyter Notebook
This repository contains a collection of Data Science and Machine learning projects.
-
Updated
Sep 17, 2022 - Jupyter Notebook
In this project, attrition prediction model was builded with the artificial neural networks.
-
Updated
Oct 13, 2022 - Jupyter Notebook
A large company named XYZ, employs, at any given point of time, around 4000 employees. However, every year, around 15% of its employees leave the company and need to be replaced with the talent pool available in the job market. The management believes that this level of attrition (employees leaving, either on their own or because they got fired)…
-
Updated
Nov 28, 2019 - Jupyter Notebook
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)
-
Updated
Nov 21, 2021 - Jupyter Notebook
Final Project Woz U Data Science Program
-
Updated
Nov 17, 2021 - Jupyter Notebook
Clustering project for assessment of Unsupervised Learning lecture (Jacek Lewkowicz)
-
Updated
Feb 22, 2021 - Jupyter Notebook
-
Updated
Dec 17, 2022
High turn over employee must be prevented. Every company need to analyze their human resource data to know better, which employee has higher probability to resign. This is the app prototype (made by Python streamlit) to answer that needs.
-
Updated
Jul 4, 2022 - Python
Improve this page
Add a description, image, and links to the attrition topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the attrition topic, visit your repo's landing page and select "manage topics."