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GitHub / gianlucatruda / quantified-sleep
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gianlucatruda%2Fquantified-sleep
Stars: 33
Forks: 2
Open Issues: 0
License: gpl-3.0
Language: Jupyter Notebook
Repo Size: 11.1 MB
Dependencies:
16
Created: about 3 years ago
Updated: over 1 year ago
Last pushed: about 3 years ago
Last synced: about 1 year ago
Topics: biohacking, data-science, explainable-ai, imputation, interpretable-machine-learning, lasso, machine-learning, missing-data, observational-studies, oura-ring, prediction, quantified-self, rescuetime, sleep, time-series
Files
Dependencies
- fancyimpute ==0.5.5
- folium ==0.7.0
- ipdb ==0.12.2
- loguru ==0.3.2
- matplotlib ==3.2.1
- missingno ==0.4.2
- numpy ==1.19.1
- pandas ==1.0.3
- pygeohash ==1.2.0
- scikit_learn ==0.23.2
- scipy ==1.4.1
- seaborn ==0.9.0
- shap ==0.39.0
- statsmodels ==0.11.1
- tqdm ==4.45.0
- xgboost ==0.7.post4