GitHub / raghavendranhp / Attrition-Alchemy
This project uses machine learning to predict and analyze employee attrition in Company.By developing three predictive models,it identifies key factors influencing turnover,providing actionable insights to mitigate attrition challenges.The analysis focuses on enhancing job satisfaction,work-life balance and career growth opportunities.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/raghavendranhp%2FAttrition-Alchemy
PURL: pkg:github/raghavendranhp/Attrition-Alchemy
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 15.7 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: 5 months ago
Topics: data, datawrangling, decision-trees, eda, gradient-boosting, logistic-regression, macine-learning, pandas, preprocessing, random-forest-classifier, skicit-learn, svm