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https://github.com/sadmansakib93/mental-resilience-analysis-using-machine-learning
Utilized supervised and unsupervised ML techniques to analyze mental health and resilience levels of medical students [Project completed on December, 2019]
https://github.com/sadmansakib93/mental-resilience-analysis-using-machine-learning
artificial-intelligence classification clustering correlation linear-regression machine-learning machine-learning-algorithms mental-health python regression resilience scikit-learn statistical-analysis
Last synced: about 2 months ago
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Utilized supervised and unsupervised ML techniques to analyze mental health and resilience levels of medical students [Project completed on December, 2019]
- Host: GitHub
- URL: https://github.com/sadmansakib93/mental-resilience-analysis-using-machine-learning
- Owner: SadmanSakib93
- Created: 2021-06-16T21:35:22.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-06-16T21:45:47.000Z (over 3 years ago)
- Last Synced: 2023-03-10T09:57:27.464Z (almost 2 years ago)
- Topics: artificial-intelligence, classification, clustering, correlation, linear-regression, machine-learning, machine-learning-algorithms, mental-health, python, regression, resilience, scikit-learn, statistical-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 2.61 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0