https://github.com/chaitanyac22/autistic-spectrum-disorder-asd-detection
This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autistic Spectrum Disorder (ASD) through optimization of performance metrics.
https://github.com/chaitanyac22/autistic-spectrum-disorder-asd-detection
classification-algorithm healthcare jupyter-notebook kneighborsclassifier logistic-regression machine-learning machine-learning-algorithms model-building model-evaluation modular-code pipelines python3 random-forest social-sciences xgboost
Last synced: about 1 month ago
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This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autistic Spectrum Disorder (ASD) through optimization of performance metrics.
- Host: GitHub
- URL: https://github.com/chaitanyac22/autistic-spectrum-disorder-asd-detection
- Owner: ChaitanyaC22
- License: mit
- Created: 2023-01-22T19:45:40.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-29T13:25:41.000Z (over 2 years ago)
- Last Synced: 2025-02-01T12:13:20.746Z (3 months ago)
- Topics: classification-algorithm, healthcare, jupyter-notebook, kneighborsclassifier, logistic-regression, machine-learning, machine-learning-algorithms, model-building, model-evaluation, modular-code, pipelines, python3, random-forest, social-sciences, xgboost
- Language: HTML
- Homepage:
- Size: 2.12 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0