https://github.com/atharvkadammm/calmlytic
An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.
https://github.com/atharvkadammm/calmlytic
anxiety-prediction classification csv data-analysis data-preprocessing-and-cleaning data-science data-visualization ensemble-learning logistic-regression machine-learning-algorithms matplotlib mental-health numpy pandas python sci-kit-learn seaborn supervised-learning svm xgboost
Last synced: 4 months ago
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An end-to-end machine learning project that predicts anxiety severity using classification models (Naive Bayes, Decision Tree, SVM, Logistic Regression, XGBoost), based on lifestyle, health, and behavioral features.
- Host: GitHub
- URL: https://github.com/atharvkadammm/calmlytic
- Owner: AtharvKadammm
- Created: 2025-06-15T02:37:04.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-15T03:22:40.000Z (4 months ago)
- Last Synced: 2025-06-15T03:39:48.507Z (4 months ago)
- Topics: anxiety-prediction, classification, csv, data-analysis, data-preprocessing-and-cleaning, data-science, data-visualization, ensemble-learning, logistic-regression, machine-learning-algorithms, matplotlib, mental-health, numpy, pandas, python, sci-kit-learn, seaborn, supervised-learning, svm, xgboost
- Language: Jupyter Notebook
- Homepage: https://sites.google.com/view/calmlytic/home
- Size: 0 Bytes
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0