kaggle-titanic

Project to solve kaggle's titanic challenge

https://github.com/hugobianquini/kaggle-titanic

Science Score: 44.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Project to solve kaggle's titanic challenge

Basic Info
  • Host: GitHub
  • Owner: HugoBianquini
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 707 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Citation

README.md

kaggle-titanic

Project to solve kaggle's titanic challenge

Owner

  • Name: Hugo Vieira Bianquini
  • Login: HugoBianquini
  • Kind: user
  • Location: Rio de Janeiro - Brazil
  • Company: CI&T

Software Developer

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  Solving and Analyzing Kaggle Machine Learning From
  Disaster
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Hugo
    family-names: Bianquini
    email: hugobianquini@id.uff.br
    affiliation: >-
      Instituto de Computação - Universidade Federal
      Fluminense (UFF)
  - given-names: Savio
    family-names: Suhett
    email: saviosuhett@id.uff.br
    affiliation: >-
      Instituto de Computação - Universidade Federal
      Fluminense (UFF)
license: MIT

GitHub Events

Total
Last Year

Dependencies

requirements.txt pypi
  • matplot ==0.1.9
  • matplotlib ==3.9.0
  • numpy ==2.0.0
  • pandas ==2.2.2
  • seaborn ==0.13.2