{"id":24731060,"url":"https://github.com/nadiduno/dataclientai","last_synced_at":"2025-03-22T15:42:27.403Z","repository":{"id":184562460,"uuid":"672102352","full_name":"nadiduno/dataClientAI","owner":"nadiduno","description":"Python application using artificial intelligence using LaberEnconder, KNeighborsClassifier and RandomForestClassifier","archived":false,"fork":false,"pushed_at":"2023-08-03T19:07:03.000Z","size":3809,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-27T16:11:15.451Z","etag":null,"topics":["ai","arvore-de-decisao","ia","kneighborsclassifier","knn","laber-enconder","previsoes","python","randomforestclassifier"],"latest_commit_sha":null,"homepage":"","language":"Python","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/nadiduno.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}},"created_at":"2023-07-29T00:00:42.000Z","updated_at":"2023-08-03T19:00:05.000Z","dependencies_parsed_at":null,"dependency_job_id":"2aa9fa5b-ea04-4f52-b327-0ac1400251fe","html_url":"https://github.com/nadiduno/dataClientAI","commit_stats":null,"previous_names":["nadiduno/dataclientai"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nadiduno%2FdataClientAI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nadiduno%2FdataClientAI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nadiduno%2FdataClientAI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nadiduno%2FdataClientAI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nadiduno","download_url":"https://codeload.github.com/nadiduno/dataClientAI/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244981083,"owners_count":20542287,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["ai","arvore-de-decisao","ia","kneighborsclassifier","knn","laber-enconder","previsoes","python","randomforestclassifier"],"created_at":"2025-01-27T16:10:41.847Z","updated_at":"2025-03-22T15:42:27.390Z","avatar_url":"https://github.com/nadiduno.png","language":"Python","readme":"[![Author](https://img.shields.io/badge/Dev-Nadi%20Duno-blueviolet%20)](https://portfolio-nadi.vercel.app/)\n[![Social](https://img.shields.io/twitter/follow/nadiduno?label=%40nadiduno\u0026style=social)](https://twitter.com/nadiduno)\n[![Linkedin](https://img.shields.io/badge/in-Nadi%20Duno-blue)](https://www.linkedin.com/in/nadiduno/)\n\u003cbr /\u003e\n\u003cbr /\u003e\n# dataClientAI\nPython application using artificial intelligence using LaberEnconder, KNeighborsClassifier and RandomForestClassifier\n\n# Algoritmos supervisionados\nAlgoritmos supervisionados são aqueles que aprendem a partir de dados rotulados, ou seja, que já possuem uma saída desejada para cada entrada.\nAlguns exemplos de algoritmos supervisionados são: K-NN, SVM, árvore de decisão, rede neural, entre outros.\n\nNeste código se implementou K-NN e o árvore de decisões\n\n## Case: Score de Crédito dos Clientes\n\nVocê foi contratado por um banco para conseguir definir o score de crédito dos clientes. Você precisa analisar todos os clientes do banco e, com base nessa análise, criar um modelo que consiga ler as informações do cliente e dizer automaticamente o score de crédito dele: Ruim, Ok, Bom\n\n# Inteligência Artificial e Previsões\n\n\u003cdiv\u003e\n  \u003cimg \n    alt=\"Portfólio de Nadi Duno\"\n    src=\"https://github.com/nadiduno/dataClientAI/blob/main/.github/appImg.png\" \n    width=\"70%\"\n  \u003e\n  \u003cbr /\u003e\n\u003c/div\u003e\n\n\u003cbr /\u003e\n\n\u003cdiv\u003e\n  \u003cimg \n    alt=\"Portfólio de Nadi Duno\"\n    src=\"https://github.com/nadiduno/dataClientAI/blob/main/.github/appImg2.png\" \n    width=\"70%\"\n  \u003e\n  \u003cbr /\u003e\n\u003c/div\u003e\n\n\ncom \u003c💜 /\u003e [Nadi Duno](https://www.linkedin.com/in/nadiduno/) © 2023\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnadiduno%2Fdataclientai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnadiduno%2Fdataclientai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnadiduno%2Fdataclientai/lists"}