GitHub / nirajan-jha / Predicting-Employee-Churn-Using-Machine-Learning

The aim is to build a predictive model that can accurately classify whether the employee is likely to leave or the employee is likely to stay in the company. This allows companies to take proactive measures, such as improving working conditions, offering promotions, or addressing dissatisfaction, to retain valuable employees.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nirajan-jha%2FPredicting-Employee-Churn-Using-Machine-Learning
PURL: pkg:github/nirajan-jha/Predicting-Employee-Churn-Using-Machine-Learning

Topics: classification, decision-tree, logistic-regression, machine-learning, machine-learning-model, model, python, random-forest, supervised-machine-learning

• Files
• Readme
• Dependencies