Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.9%) to scientific vocabulary
Repository
House Price Prediction
Basic Info
- Host: GitHub
- Owner: AlanFSilva
- Language: Jupyter Notebook
- Default Branch: main
- Size: 53.2 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Modelagem Preditiva de Preços Imobiliários no Condado de King
CURSO: Sistemas de Informação
DISCIPLINA: Projeto - Pesquisa e Experimentação em Sistemas de Informação
SEMESTRE: 7º
Projeto: Pesquisa e Experimentação em Sistemas de Informação. Análise e Modelagem Preditiva de Preços Imobiliários
Integrantes
- Alan Ferreira da Silva
- Amanda Andrade Lopes
- Angelica Sofia Nieves
- Estêvão Moura Rodrigues
- Kelly Marques
- Yael Joaquim Nobre Dias
Orientador
- Neil Paiva Tizzo
Planejamento
| Etapa | Atividades |
| :----: | ----------- |
| ETAPA 1 |Documentação de Contexto e levantamento dos dados
|
| ETAPA 2 |Conhecendo os dados
|
| ETAPA 3 |Preparação dos dados, construção e avaliação dos modelos propostos |
| ETAPA 4 |Implantação e apresentação da solução
|
Instruções de utilização
Assim que a primeira versão do sistema estiver disponível, deverá complementar com as instruções de utilização. Descreva como instalar eventuais dependências e como executar a aplicação.
Código
Apresentação
Owner
- Name: Alan Silva
- Login: AlanFSilva
- Kind: user
- Location: Brasil
- Website: https://www.linkedin.com/in/alan-silva-05889314b/
- Repositories: 2
- Profile: https://github.com/AlanFSilva
I'm a university student and work with mobile and web technologies
Citation (CITATION.cff)
cff-version: 1.0.1
message: Please cite this software using these metadata.
title: "Real Estate Price Prediction in King County, WA"
authors:
- family-names: Silva
given-names: Alan Ferreira da
- family-names: Lopes
given-names: Amanda Andrade
- family-names: Nieves
given-names: Angelica Sofia
- family-names: Rodrigues
given-names: Estêvão Moura
- family-names: Marques
given-names: Kelly
- family-names: Dias
given-names: Yael Joaquim Nobre
- name-suffix: Professor Neil Paiva Tizzo
affiliation: PUC Minas
date-released: 2025-06-18
repository-code: https://github.com/ICEI-PUC-Minas-PMV-SI/pmv-si-2025-1-pe7-t2-grupo-1-quartas-19h
abstract: >
This project uses a complete dataset from Kaggle to develop machine learning models
capable of predicting real estate prices in King County, Washington. It aims to provide
accurate property valuations and actionable insights for buyers, sellers, investors,
and financial institutions.
keywords:
- Real Estate
- Property Prices
- King County, Washington
- Machine Learning
- Predictive Modeling
- Data Science
- Housing Market
- Property Valuation
- Real Estate Investment
- Location-based Analysis
- Economic Factors
- Market Trends
- Kaggle Dataset
- Price Prediction
- Housing Features
- Real Estate Analytics
- Decision Support
- Risk Management
- Model Accuracy
- Financial Institutions
license: CC-BY-4.0
version: 1.0.0
GitHub Events
Total
- Push event: 19
- Create event: 2
Last Year
- Push event: 19
- Create event: 2
Dependencies
- actions/checkout v4 composite
- actions/download-artifact v4 composite
- actions/setup-python v5 composite
- actions/upload-artifact v4 composite
- azure/webapps-deploy v3 composite