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GitHub / sawadogosalif / Deployment_Data_Science_Project
Deploy maching learning model in local / server /API /cloud/ dockers
Stars: 3
Forks: 3
Open Issues: 1
License: mit
Language: Python
Repo Size: 4.15 MB
Dependencies:
64
Created: over 2 years ago
Updated: 3 months ago
Last pushed: 7 months ago
Last synced: 17 days ago
Topics: api, batch-script, data-preprocessing, deployment, docker, feature-selection, flask, kubernetes-deployment, lda, logistic-regression, perceptron, pipeline, streamlit, swagger, voila
Files
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Readme
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Dependencies
- Flask ==1.1.1
- Jinja2 ==2.10.1
- MarkupSafe ==1.1.1
- Werkzeug ==0.15.5
- flasgger ==0.9.4
- gunicorn ==19.9.0
- itsdangerous ==1.1.0
- matplotlib >=1.4.3
- numpy >=1.9.2
- pandas >=0.19
- scikit-learn *
- scipy >=0.15.1
- streamlit *
- Flask ==1.1.1
- Jinja2 ==2.10.1
- MarkupSafe ==1.1.1
- Werkzeug ==0.15.5
- flasgger ==0.9.4
- gunicorn ==19.9.0
- itsdangerous ==1.1.0
- matplotlib >=1.4.3
- numpy >=1.9.2
- pandas >=0.19
- scikit-learn *
- scipy >=0.15.1
- datetime *
- ipywidgets ==7.6.5
- matplotlib ==3.5.1
- numpy ==1.20.3
- pandas ==1.3.4
- patsy ==0.5.2
- scikit-learn ==1.0.2
- scipy ==1.7.3
- seaborn ==0.11.2
- statsmodels ==0.12.2
- streamlit ==1.5.1
- IPython *
- datetime *
- ipywidgets *
- matplotlib *
- numpy *
- pandas *
- pickle5 *
- scipy *
- seaborn *
- sklearn *
- statsmodels *
- streamlit ==1.5.1
Docker_Kubernetes/Dockerfile
docker
- continuumio/anaconda3 4.4.0 build
- continuumio/miniconda3 latest build
Dash/Dockerfile
docker
- python 3.9 build
- argparse *
- awswrangler ==3.4.0
- black *
- dash ==2.14.0
- dash_bootstrap_components ==1.5.0
- gunicorn *
- loguru ==0.7.2
- openpyxl ==1.1.0
- pandas *
- pyarrow ==13.0.0
- python-dotenv ==1.0.0
- requests ==2.27.1
- xlsxwriter ==3.1.9