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GitHub / Shalom91 / Predict_Breast_Cancer
Predict breast cancer using logistic regression.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Shalom91%2FPredict_Breast_Cancer
Stars: 0
Forks: 0
Open Issues: 13
License: None
Language: Jupyter Notebook
Repo Size: 113 KB
Dependencies:
77
Created: about 4 years ago
Updated: over 3 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Topics: logistic-regression, predict-breast-cancer
Files
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Dependencies
requirements.txt
pypi
- ImageHash ==4.0
- Jinja2 ==2.11.2
- MarkupSafe ==1.1.1
- Pillow ==7.1.1
- PyWavelets ==1.1.1
- PyYAML ==5.3.1
- Pygments ==2.6.1
- Send2Trash ==1.5.0
- astropy ==4.0.1.post1
- attrs ==19.3.0
- backcall ==0.1.0
- bleach ==3.1.4
- certifi ==2020.4.5.1
- chardet ==3.0.4
- confuse ==1.1.0
- cycler ==0.10.0
- decorator ==4.4.2
- defusedxml ==0.6.0
- entrypoints ==0.3
- htmlmin ==0.1.12
- idna ==2.9
- importlib-metadata ==1.6.0
- ipykernel ==5.2.1
- ipython ==7.13.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- jedi ==0.17.0
- joblib ==0.14.1
- jsonschema ==3.2.0
- jupyter-client ==6.1.3
- jupyter-core ==4.6.3
- kiwisolver ==1.2.0
- llvmlite ==0.32.0
- matplotlib ==3.2.1
- missingno ==0.4.2
- mistune ==0.8.4
- nbconvert ==5.6.1
- nbformat ==5.0.6
- networkx ==2.4
- notebook ==6.0.3
- numba ==0.49.0
- numpy ==1.18.3
- pandas ==1.0.3
- pandas-profiling ==2.6.0
- pandocfilters ==1.4.2
- parso ==0.7.0
- patsy ==0.5.1
- pexpect ==4.8.0
- phik ==0.9.11
- pickleshare ==0.7.5
- prometheus-client ==0.7.1
- prompt-toolkit ==3.0.5
- ptyprocess ==0.6.0
- pyparsing ==2.4.7
- pyrsistent ==0.16.0
- python-dateutil ==2.8.1
- pytz ==2019.3
- pyzmq ==19.0.0
- requests ==2.23.0
- scikit-learn ==0.22.2.post1
- scipy ==1.4.1
- seaborn ==0.10.0
- six ==1.14.0
- sklearn ==0.0
- statsmodels ==0.11.1
- tangled-up-in-unicode ==0.0.4
- terminado ==0.8.3
- testpath ==0.4.4
- tornado ==6.0.4
- tqdm ==4.45.0
- traitlets ==4.3.3
- urllib3 ==1.25.9
- visions ==0.4.1
- wcwidth ==0.1.9
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- zipp ==3.1.0