GitHub / itzdineshx / Mental-Health-EDA-Ensembling-models
This project focuses on predicting mental health status (Depression) using a dataset generated from a deep learning model trained on the Depression Survey.
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License: mit
Language: Jupyter Notebook
Size: 6.92 MB
Dependencies parsed at: Pending
Created at: 4 months ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: 2 months ago
Topics: boosting, catboost, ensemble-model, exploratory-data-analysis, histgradient, mental-health, mental-health-eda, xgboost-algorithm