attrition
There are 0 repository under attrition topic.
umitkaanusta / Jomini
Historical battle simulation package for Python
Language:Python 49ashwinbaldawa / Employee-Attrition-Prediction
This repository contains all the data related to the employee Attrition Prediction model
Language:R 4Armos05 / Data-Science-Projects
This repository contains a collection of Data Science and Machine learning projects.
Language:Jupyter Notebook 3bhargavpirates / HR_Analytics
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) is bad for the company, because of the following reasons - The former employees’ projects get delayed, which makes it difficult to meet timelines, resulting in a reputation loss among consumers and partners A sizeable department has to be maintained, for the purposes of recruiting new talent More often than not, the new employees have to be trained for the job and/or given time to acclimatise themselves to the company Hence, the management has contracted an HR analytics firm to understand what factors they should focus on, in order to curb attrition. In other words, they want to know what changes they should make to their workplace, in order to get most of their employees to stay. Also, they want to know which of these variables is most important and needs to be addressed right away.
Language:Jupyter Notebook 2denistanjingyu / IBM-HR-Analytics
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
Language:R 2gabriel-oppen / oppen_features
This repository contains an R functions designed to estimate the Average Treatment Effect on the Treated (ITT) and Local Average Treatment Effect (LATE) using various methods, including Difference in Means and Difference in Differences. The function allows for adjustment for clustering and provides options for methods such as Lee Bounds and IPW
Language:R 2Niranjankumar-c / HRAnalyticsEmployeeAttrition
Uncover the factors that lead to employee attrition using IBM Employee Data
Language:Jupyter Notebook 2alankarpatra / IBM_HR_Attrition
Uncover the factors that lead to employee attrition at IBM
Language:Jupyter Notebook 1hanzala-sohrab / Summer-Analytics-2020
A primer course on Data Science by Consulting & Analytics Club, IIT Guwahati
Language:Jupyter Notebook 1mlempp / Project_PeopleAnalytics
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:
Language:Python 1pranaysingh25 / IBM-Employee-Attrition-Analysis
Built a model using XGBoost that predicts the chances of Attrition of an employee working at IBM with 84% Precision.
Language:Jupyter Notebook 1rambotech / BOG.Weedkiller
A flexible and powerful class for surgical removal of aged files and folders. Includes desktop configuration builder/manager, and a console app for human-free operation. Class can be directly included in an application.
Language:C# 1tejgit8102 / Unified_Mentor_DS
This project analyzes employee attrition at Green Destinations, a travel agency, to identify trends and factors influencing departures. The analysis focuses on age, years at the company, and income. The repository includes data, analysis notebooks, models, and results, providing actionable insights for improving employee retention.
ada-nai / emp-attr
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)
Language:Jupyter Notebook 0ayan6943 / Employee-Attrition-Prediction-with-Machine-Learning
Employee Attrition Prediction with Machine Learning | Analyzing HR data to predict employee turnover using Random Forest. Includes EDA, feature engineering, model training, and evaluation. Achieved 90% accuracy.
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fwaskito / attrition-prediction
Employee attrition prediction system. | Framework: Flask (Python), Bootstrap.
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Najrul-Ansari / HR-Attrition-Analysis-Report
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.
0officialarete / HR-Data-Analysis-and-Report
This is a personal project carried out during the Future Clan Bootcamp using the Microsoft Power BI
0Robert-Kirui / employee_attrition_analysis
Analysis of employee attrition for the company and the variation by gender, department, job roles, level of education, field of education, age band, frequency of business travel, and marital status.
0Run-d1 / Employee-Attrition-Analysis
This repository contains a comprehensive study on employee attrition analysis using data mining techniques. It includes data preprocessing, visualization, and predictive modeling (with algorithms such as Decision Tree, Random Forest, and Logistic Regression) to identify key factors influencing attrition, using the IBM HR dataset.
Language:Jupyter Notebook 0SarahMangrum / WozUFinalProject
Final Project Woz U Data Science Program
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Vaibhav-Xo / HR-Analytics-Dashboard
Step into the mystical realm of HR data👨🏻💼👨💻📈 with my dazzling Attrition Analytics Dashboard! to understand the employees vanishing acts and help HR in building solutions 🚀✨
0zakkipuar23 / human_resource_attrition_analytics
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.
Language:Python 0aribmkhan / IBM-HR-Attrition-Project
This project utilizes employee attrition and satisfaction scores in order to provide the HR department with recommendations on how to decrease employee attrition. An Attrition dashboard was also created for HR management in order to assess KPIs and make informed decisions on decreasing attrition in the future.
doguilmak / IBM-Attrition-Prediction
In this project, attrition prediction model was builded with the artificial neural networks.
Language:Jupyter Notebookkishanv-28 / HR-Analytics-Dashboard
This repository contains an HR Analytics Power BI Dashboard focused on employee attrition analysis. It provides valuable insights into factors affecting employee retention, such as gender, age, salary, job role, and tenure. The dashboard helps HR professionals identify trends and patterns to improve employee retention strategies.
MansiPS / HR-Attrition-Dashboard-using-Excel
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.
novilchamola / HR-Attrition-Analytics-Dashboard
Step into the mystical realm of HR data👨🏻💼👨💻📈 with my dazzling Attrition Analytics Dashboard! to understand the employees vanishing acts and help HR in building solutions 🚀✨
pratikdaga12 / IBM_HR_Analytics
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
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