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GitHub / RYees / causal-inference
This all about analyzing breast cancer data to category which patient are likely to be benign or malignant with modeling
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RYees%2Fcausal-inference
Stars: 0
Forks: 0
Open Issues: 3
License: mit
Language: Python
Repo Size: 10.5 MB
Dependencies:
66
Created: almost 2 years ago
Updated: almost 2 years ago
Last pushed: almost 2 years ago
Last synced: over 1 year ago
Topics: machine-learning
Files
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Readme
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Dependencies
requirements.txt
pypi
- Pillow ==9.0.1
- PyDispatcher ==2.0.5
- PyYAML ==6.0
- TBB ==0.2
- affine ==2.3.1
- anaconda-navigator ==2.2.0
- appdirs ==1.4.4
- atomicwrites ==1.4.0
- backports.weakref ==1.0.post1
- bkcharts ==0.2
- black ==19.10b0
- brotlipy ==0.7.0
- build ==0.8.0
- certifi ==2021.10.8
- click-plugins ==1.1.1
- cligj ==0.7.2
- clyent ==1.2.2
- commonmark ==0.9.1
- conda ==4.13.0
- conda-build ==3.21.8
- conda-verify ==3.4.2
- constantly ==15.1.0
- cssselect ==1.1.0
- cytoolz ==0.11.0
- daal4py ==2021.5.0
- datashape ==0.5.4
- et-xmlfile ==1.1.0
- fonttools ==4.25.0
- inflection ==0.5.1
- llvmlite ==0.38.0
- mccabe ==0.6.1
- mkl-fft ==1.3.1
- mkl-service ==2.4.0
- mpmath ==1.2.1
- munkres ==1.1.4
- mypy-extensions ==0.4.3
- navigator-updater ==0.2.1
- pandas ==1.4.2
- pathspec ==0.7.0
- patsy ==0.5.2
- pdal ==3.1.2
- pep517 ==0.12.0
- pep8 ==1.7.1
- protobuf ==3.19.1
- pyasn1-modules ==0.2.8
- pycosat ==0.6.3
- pycurl ==7.44.1
- pygraphviz ==1.9
- pyls-spyder ==0.4.0
- pytest ==7.1.1
- python-lsp-jsonrpc ==1.0.0
- python-lsp-server ==1.2.4
- pytz ==2021.3
- queuelib ==1.5.0
- rasterio ==1.2.10
- readme-renderer ==35.0
- requests-toolbelt ==0.9.1
- rfc3986 ==2.0.0
- rich ==12.4.4
- scikit-learn-intelex ==2021.20220215.212715
- sip ==4.19.13
- snuggs ==1.4.7
- tabulate ==0.8.9
- twine ==4.0.1
- webencodings ==0.5.1
- zict ==2.0.0