GitHub / MamiyaA / FeatureFinder
Jupyter notebook and "Streamlit" python scripts for identifying features that can predict employee turn over rates at 250 senior care centers across the US. Combines multiple repetition of Lasso regression and linear regression. Integrates U.S. census data, employee salary, and employee tenure with data on employee satisfaction and engagement to improve the prediction accuracy and stability of the model.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MamiyaA%2FFeatureFinder
PURL: pkg:github/MamiyaA/FeatureFinder
Stars: 0
Forks: 0
Open issues: 1
License: None
Language: Jupyter Notebook
Size: 6.88 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: almost 5 years ago
Pushed at: almost 5 years ago
Last synced at: almost 2 years ago
Topics: census-data, exploratory-data-analysis, lasso-regression, linear-regression, log-transformation, preprocessing, regression-analysis, standardization