https://github.com/sputnik792/dmp_quick_analysis_ml
A Flask-based visualization tool I designed to streamline the process of ML model training and data analysis using clinical/health EMR datasets
https://github.com/sputnik792/dmp_quick_analysis_ml
classifiers flask hyperparameter-optimization machine-learning machine-learning-algorithms regression sklearn
Last synced: 13 days ago
JSON representation
A Flask-based visualization tool I designed to streamline the process of ML model training and data analysis using clinical/health EMR datasets
- Host: GitHub
- URL: https://github.com/sputnik792/dmp_quick_analysis_ml
- Owner: sputnik792
- Created: 2025-08-26T22:33:16.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-08-27T17:34:48.000Z (9 months ago)
- Last Synced: 2025-08-28T02:21:07.063Z (9 months ago)
- Topics: classifiers, flask, hyperparameter-optimization, machine-learning, machine-learning-algorithms, regression, sklearn
- Language: Python
- Homepage:
- Size: 16 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
to run
1. download the repo to local folder
2. run requirements.txt or pip install each dependency
3. run app.py
4. you can run trainer.py ahead of time to train the models using imported data sets. Imported data sets should be placed in /datasets
https://github.com/user-attachments/assets/9f38b208-8b62-47e5-b902-51e5c1b02bcb