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GitHub / KapilKhanal / Sales_Impact
The impact of discount on sales for different categories of customers. Uses statistical techniques like CausalImpact, time series and KMeans.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KapilKhanal%2FSales_Impact
Stars: 1
Forks: 1
Open Issues: 7
License: None
Language: HTML
Repo Size: 150 MB
Dependencies:
146
Created: about 4 years ago
Updated: about 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Files
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Readme
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Dependencies
requirements.txt
pypi
- Click ==7.0
- Jinja2 ==2.11.3
- MarkupSafe ==1.1.1
- Pillow ==8.3.2
- PyYAML ==5.4
- Pygments ==2.7.4
- SQLAlchemy ==1.3.13
- Send2Trash ==1.5.0
- altair ==4.0.1
- ansiwrap ==0.8.4
- appdirs ==1.4.3
- appnope ==0.1.0
- astor ==0.8.1
- astroid ==2.3.3
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- attrs ==19.3.0
- autopep8 ==1.4.4
- backcall ==0.1.0
- base58 ==2.0.0
- beautifulsoup4 ==4.8.2
- black ==19.10b0
- bleach ==3.3.0
- blinker ==1.4
- boto3 ==1.11.13
- botocore ==1.14.13
- certifi ==2019.11.28
- chardet ==3.0.4
- confuse ==1.0.0
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- decorator ==4.4.1
- defusedxml ==0.6.0
- dfply ==0.3.3
- docutils ==0.15.2
- entrypoints ==0.3
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- future ==0.18.2
- htmlmin ==0.1.12
- idna ==2.8
- importlib-metadata ==1.5.0
- ipykernel ==5.1.4
- ipytest ==0.7.1
- ipython ==7.11.1
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- isort ==4.3.21
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- jmespath ==0.9.4
- joblib ==0.14.1
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- notebook ==6.4.1
- numba ==0.48.0
- numpy ==1.18.1
- packaging ==20.1
- pandas ==0.25.3
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- prompt-toolkit ==3.0.3
- protobuf ==3.15.0
- ptyprocess ==0.6.0
- py ==1.10.0
- pyarrow ==0.15.1
- pycausalimpact ==0.0.16
- pycodestyle ==2.5.0
- pydeck ==0.2.1
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- python-dateutil ==2.8.0
- python-slugify ==4.0.0
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- regex ==2020.2.20
- requests ==2.22.0
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- scikit-learn ==0.22.1
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- tornado ==5.1.1
- tqdm ==4.42.0
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- urllib3 ==1.26.5
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- watchdog ==0.10.2
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- xlrd ==1.2.0
- zipp ==2.1.0