FarzadNekouee / XGBoost-CatBoost-Employee-Resignation
The project aims to predict employee resignations using XGBoost and CatBoost regressors. It involves extensive EDA, data preprocessing, model building, hyperparameter tuning, and model evaluation. The objective is to help organizations take proactive steps to retain valuable employees and maintain stability.
☆13Updated last year
Related projects ⓘ
Alternatives and complementary repositories for XGBoost-CatBoost-Employee-Resignation
- This project leverages DCGANs and the CelebA dataset to create photorealistic, synthetic human faces. The DCGAN model crafts new faces th…☆12Updated last year
- Launching a mobile company to rival giants like Apple & Samsung, we leverage sales data to discern price ranges for mobiles based on feat…☆11Updated last year
- An extensive exploration and preprocessing of Flight data. The project encompasses detailed EDA (Univariate, Bivariate, and Multivariate …