{"id":28923968,"url":"https://github.com/douglas-data-analyst/predictive-analysis","last_synced_at":"2026-05-06T11:32:23.484Z","repository":{"id":298763290,"uuid":"1001075518","full_name":"douglas-data-analyst/predictive-analysis","owner":"douglas-data-analyst","description":"Modelo preditivo para previsão de vendas usando scikit-learn e machine learning","archived":false,"fork":false,"pushed_at":"2025-06-13T18:12:11.000Z","size":1530,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-22T10:02:56.073Z","etag":null,"topics":["data-science","machine-learning","predictive-analytics","python","sales-forecasting","scikit-learn","time-series"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/douglas-data-analyst.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-06-12T19:26:20.000Z","updated_at":"2025-06-13T18:12:14.000Z","dependencies_parsed_at":"2025-06-12T20:56:23.825Z","dependency_job_id":"86319891-89e4-4d7d-a363-ca23de2418c0","html_url":"https://github.com/douglas-data-analyst/predictive-analysis","commit_stats":null,"previous_names":["douglas-data-analyst/predictive-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/douglas-data-analyst/predictive-analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/douglas-data-analyst%2Fpredictive-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/douglas-data-analyst%2Fpredictive-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/douglas-data-analyst%2Fpredictive-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/douglas-data-analyst%2Fpredictive-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/douglas-data-analyst","download_url":"https://codeload.github.com/douglas-data-analyst/predictive-analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/douglas-data-analyst%2Fpredictive-analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32691743,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-06T08:33:17.875Z","status":"ssl_error","status_checked_at":"2026-05-06T08:33:17.221Z","response_time":117,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","machine-learning","predictive-analytics","python","sales-forecasting","scikit-learn","time-series"],"created_at":"2025-06-22T10:02:28.029Z","updated_at":"2026-05-06T11:32:23.479Z","avatar_url":"https://github.com/douglas-data-analyst.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Análise Preditiva com Scikit-Learn\n\n![Modelo Preditivo](reports/figures/model_performance.png)\n\n## Sobre o Projeto\nEste projeto implementa um modelo de análise preditiva para prever vendas futuras e identificar fatores que influenciam o desempenho de produtos em um e-commerce, utilizando técnicas de machine learning com scikit-learn.\n\n## Principais Recursos\n- Preparação e engenharia de features para machine learning\n- Implementação de múltiplos algoritmos preditivos\n- Avaliação e comparação de desempenho de modelos\n- Interpretação de resultados e insights de negócio\n- Modelo de previsão de vendas pronto para uso\n\n## Estrutura do Projeto\n- `notebooks/`: Jupyter notebooks com análise preditiva detalhada\n- `data/`: Dados brutos, processados e modelos salvos\n- `src/`: Scripts Python para modelagem e avaliação\n- `reports/`: Relatórios e visualizações dos resultados\n\n## Como Executar\n1. Clone este repositório\n2. Instale as dependências: `pip install -r requirements.txt`\n3. Execute os notebooks na ordem numérica\n\n## Tecnologias Utilizadas\n- Python 3.9\n- pandas 1.5.3\n- numpy 1.24.3\n- scikit-learn 1.2.2\n- matplotlib 3.7.1\n- seaborn 0.12.2\n\n## Dados\nOs dados utilizados são do [Brazilian E-Commerce Public Dataset by Olist](https://www.kaggle.com/datasets/olistbr/brazilian-ecommerce), disponibilizados no Kaggle.\n\n## Autor\nDouglas Rodrigues - [LinkedIn](https://linkedin.com/in/douglasrodriguessilva)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdouglas-data-analyst%2Fpredictive-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdouglas-data-analyst%2Fpredictive-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdouglas-data-analyst%2Fpredictive-analysis/lists"}