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GitHub / Sukruti / Banking_Model_Flask
This is an end to end implementation for ML of a bank data set
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sukruti%2FBanking_Model_Flask
Stars: 0
Forks: 0
Open Issues: 4
License: None
Language: Jupyter Notebook
Repo Size: 657 KB
Dependencies:
57
Created: over 5 years ago
Updated: almost 3 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
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Dependencies
requirements.txt
pypi
- Flask ==1.1.2
- Flask-Cors ==3.0.9
- Flask-Excel ==0.0.7
- Flask-Ext ==0.1
- Jinja2 ==2.11.2
- MarkupSafe ==1.1.1
- PasteDeploy ==2.1.1
- WebOb ==1.8.6
- Werkzeug ==1.0.1
- certifi ==2020.6.20
- click ==7.1.2
- excel ==1.0.0
- hupper ==1.10.2
- itsdangerous ==1.1.0
- lml ==0.0.9
- mkl-fft ==1.2.0
- mkl-random ==1.1.1
- mkl-service ==2.3.0
- pandas ==1.1.3
- plaster ==1.0
- plaster-pastedeploy ==0.7
- pyexcel ==0.6.5
- pyexcel-io ==0.6.3
- pyexcel-webio ==0.1.4
- pyramid ==1.10.4
- pyramid-excel ==0.0.5
- python-dateutil ==2.8.1
- pytz ==2020.1
- six ==1.15.0
- texttable ==1.6.3
- translationstring ==1.4
- venusian ==3.0.0
- wincertstore ==0.2
- xlrd ==1.2.0
- zope.deprecation ==4.4.0
- zope.interface ==5.1.2
requirements_p.txt
pypi
- Flask ==1.1.2
- Flask-Cors ==3.0.9
- Jinja2 ==2.11.2
- MarkupSafe ==1.1.1
- Werkzeug ==1.0.1
- appdirs ==1.4.3
- certifi ==2020.6.20
- click ==7.1.2
- distlib ==0.3.0
- gunicorn ==20.0.4
- itsdangerous ==1.1.0
- joblib ==0.15.1
- numpy ==1.18.1
- pandas ==1.0.1
- python-dateutil ==2.8.1
- pytz ==2019.3
- scikit-learn ==0.22.1
- scipy ==1.4.1
- six ==1.14.0
- virtualenv ==20.0.7
- wincertstore ==0.2