120 skills found · Page 1 of 4
jeevia22 / Employee Attrition Risk AnalysisNo description available
Amrutha-Varshni / Employee Attrition Risk AnalysisNo description available
Okes2024 / Employee Attrition Prediction Using HR DataThis project uses synthetic HR data to predict employee attrition through data analysis and machine learning. It explores factors influencing employee turnover and helps HR departments make data-driven retention strategies.
mrc03 / IBM HR Analytics Employee Attrition PerformanceThe IBM HR Analytics Employee Attrition & Performance dataset from the Kaggle. I have first performed Exploratory Data Analysis on the data using various libraries like pandas,seaborn,matplotlib etc.. Then I have plotted used feature selection techniques like RFE to select the features. The data is then oversampled using the SMOTE technique in order to deal with the imbalanced classes. Also the data is then scaled for better performance. Lastly I have trained many ML models from the scikit-learn library for predictive modelling and compared the performance using Precision, Recall and other metrics.
IBM / Employee Attrition Aif360Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.
umitkaanusta / JominiHistorical battle simulation package for Python
Pandey-Adarsh / HR Analytics PowerBIHR Data Analytics portfolio project on a dataset of 80K records that deals with HR KPIs like Performance tracking, attrition rate. Project involved cleaning, transforming data and visualizing it to create a dashboard. I have used the MS Excel and Power BI's Query Editor for data cleaning and preprocessing and dashboard.
aastha985 / Employee Attrition PredictionCSE343, Machine Learning Course Project, IIIT Delhi, Monsoon 2021
shantanu1109 / IBM HR Analytics Employee Attrition And Performance PredictionIn this project, we enlisted the numerical and categorical attributes present in the publicly available dataset. Missing values were dropped to give better insights in data analysis. ANOVA and Chi-Square tests were carried out during statistical analysis. Machine Learning algo's were applied to understand, manage, and mitigate employee attrition.
stephenjsweeney / BlobwarsAttritionA C source port of Blob Wars : Attrition
eeeds / Employees Attrition MlopsFinal Project of the MLOps Zoomcamp hosted by DataTalksClub.
attrition-org / Web Hack MirrorA copy of the Attrition.org web page hack / defacement mirror. Details: https://attrition.org/mirror/
JNYH / Employee Attritionemployee_attrition
ShiwaniBhagat / HR Attrition ML ProjectNo description available
AmirhosseinHonardoust / Exit Narrative GeneratorAn explanation-first HR analytics system that reconstructs why employee exit becomes rational. Instead of predicting attrition, it generates human-readable exit narratives by decomposing pressure and retention forces, adding peer context and counterfactual interventions to reveal how stability erodes over time.
NitinBhore / Customer Churn ClassificationCustomer churn, also called customer attrition, is the number of paying customers who fail to become repeat customers. In this context, churn is a quantifiable rate of change that occurs over a specified amount of time
Technocolabs100 / AttritionForecast Analysis And PredictionThis project aims to provide insights into the factors influencing employee attrition and predict which employees are likely to leave the company.
MistryWoman / HR Analytics Attrition PredictionPredicting employee attrition through machine learning models
netsatsawat / HR AnalyticsThis repository demonstrates how data science can help to identify the employee attrition which is part of Human Resource Management
Raju0521 / HR Analytics Employee Attrition ProjectData-driven analysis of employee attrition using HR analytics techniques to support retention strategies and workforce planning.
