https://github.com/aryashah2k/sasbitathon-winningsolution

1st Place solution for the SAS | GIM Bitathon, an annual Data Science Hackathon organized by SAS and Goa Institute of Management. The dataset worked on is the subset of the consumer complaints database provided by www.consumerfinance.gov

https://github.com/aryashah2k/sasbitathon-winningsolution

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic links in README
  • Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (2.3%) to scientific vocabulary

Keywords

data-science hackathon-project heroku-deployment machine-learning natural-language-processing nlp-datasets python spacy streamlit
Last synced: 5 months ago · JSON representation

Repository

1st Place solution for the SAS | GIM Bitathon, an annual Data Science Hackathon organized by SAS and Goa Institute of Management. The dataset worked on is the subset of the consumer complaints database provided by www.consumerfinance.gov

Basic Info
  • Host: GitHub
  • Owner: aryashah2k
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 39.6 MB
Statistics
  • Stars: 11
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
data-science hackathon-project heroku-deployment machine-learning natural-language-processing nlp-datasets python spacy streamlit
Created about 4 years ago · Last pushed about 4 years ago
Metadata Files
Readme License

Owner

  • Name: Arya Shah
  • Login: aryashah2k
  • Kind: user
  • Location: Mumbai, India
  • Company: IIT Gandhinagar

Artificial Intelligence Engineer & Researcher

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 54
  • Total Committers: 1
  • Avg Commits per committer: 54.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Arya Shah a****2@n****n 54
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • altair ==4.1.0
  • argcomplete ==1.12.3
  • argon2-cffi ==21.1.0
  • astor ==0.8.1
  • attrs ==21.2.0
  • backcall ==0.2.0
  • backports-zoneinfo ==0.2.1
  • base58 ==2.1.1
  • bleach ==4.1.0
  • blinker ==1.4
  • blis ==0.4.1
  • cachetools ==4.2.4
  • catalogue ==2.0.6
  • certifi ==2021.10.8
  • cffi ==1.15.0
  • charset-normalizer ==2.0.8
  • click ==7.1.2
  • colorama ==0.4.4
  • cycler ==0.11.0
  • cymem ==2.0.6
  • debugpy ==1.5.1
  • decorator ==5.1.0
  • defusedxml ==0.7.1
  • entrypoints ==0.3
  • fonttools ==4.28.3
  • gitdb ==4.0.9
  • gitpython ==3.1.24
  • idna ==3.3
  • importlib-metadata ==4.8.1
  • importlib-resources ==5.4.0
  • importlib_metadata ==4.8.1
  • ipykernel ==6.4.1
  • ipython ==7.29.0
  • ipython_genutils ==0.2.0
  • ipywidgets ==7.6.5
  • jedi ==0.18.0
  • jinja2 ==3.0.3
  • jsonschema ==4.2.1
  • jupyter_client ==7.0.6
  • jupyter_core ==4.9.1
  • jupyterlab-pygments ==0.1.2
  • jupyterlab-widgets ==1.0.2
  • kiwisolver ==1.3.2
  • langcodes ==3.3.0
  • markupsafe ==2.0.1
  • matplotlib ==3.5.0
  • matplotlib-inline ==0.1.2
  • mistune ==0.8.4
  • murmurhash ==1.0.6
  • nbclient ==0.5.9
  • nbconvert ==6.3.0
  • nbformat ==5.1.3
  • nest-asyncio ==1.5.1
  • notebook ==6.4.6
  • numpy ==1.21.4
  • packaging ==21.3
  • pandas ==1.3.4
  • pandocfilters ==1.5.0
  • parso ==0.8.2
  • pathy ==0.6.1
  • pickleshare ==0.7.5
  • pillow ==8.4.0
  • pip ==21.2.4
  • plac ==0.9.6
  • preshed ==3.0.6
  • prometheus-client ==0.12.0
  • prompt-toolkit ==3.0.20
  • protobuf ==3.19.1
  • pyarrow ==6.0.1
  • pycparser ==2.21
  • pydantic ==1.8.2
  • pydeck ==0.7.1
  • pygments ==2.10.0
  • pympler ==0.9
  • pyparsing ==3.0.6
  • pyrsistent ==0.18.0
  • python-dateutil ==2.8.2
  • pytz ==2021.3
  • pytz-deprecation-shim ==0.1.0.post0
  • pyzmq ==22.3.0
  • requests ==2.26.0
  • send2trash ==1.8.0
  • setuptools ==58.0.4
  • setuptools-scm ==6.3.2
  • six ==1.16.0
  • smart-open ==5.2.1
  • smmap ==5.0.0
  • spacy ==2.2.0
  • spacy-legacy ==3.0.8
  • spacy-loggers ==1.0.1
  • srsly ==1.0.5
  • streamlit ==1.2.0
  • terminado ==0.12.1
  • testpath ==0.5.0
  • thinc ==7.1.1
  • toml ==0.10.2
  • tomli ==1.2.2
  • toolz ==0.11.2
  • tornado ==6.1
  • tqdm ==4.62.3
  • traitlets ==5.1.1
  • typer ==0.4.0
  • typing_extensions ==3.10.0.2
  • tzdata ==2021.5
  • tzlocal ==4.1
  • urllib3 ==1.26.7
  • validators ==0.18.2
  • wasabi ==0.8.2
  • watchdog ==2.1.6
  • wcwidth ==0.2.5
  • webencodings ==0.5.1
  • wheel ==0.37.0
  • widgetsnbextension ==3.5.2
  • wincertstore ==0.2
  • wordcloud ==1.8.1
  • zipp ==3.6.0