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🗓An iOS and Android SHARED app created with Swift 🧡 and FireBase 🔥. An iOS and Android SHARED app created with Swift and FireBase. If you would like to request a feature, find a bug, have a question, or would like to leave feedback, open an issue! ⭐️ this repo to show support
Budget
Aplicativo financeiro desenvolvido em entrevista técnica para vaga de estágio como desenvolvedor iOS
livro-receitas
Meu livro de receitas
meuprojeto
Laravel sistema de ingresso online
Openstack-Ocata
Script
Trabalho-de-conclusao-de-curso-UECE-IOS
Um estudo comparativo entre os diferentes estilos de construção da interface de usuário no ambiente iOS
yagosaboia.github.io
Trabalhos da cadeira de Computação Gráfica
Youtube-Spam-Classification
In this project of Information retrieval, we have to solve supervised classification problem to filter YouTube comments whether they are spam or not. Five datasets composed by 1,956 real messages extracted from five videos was used to train our model. By ensemble of Logistic regression, Random Forest and Gradient Boosting we achieved max accuracy of 98%. I managed and worked in this project as Team Lead. Programming Language: Python
yagosaboia's Repositories
yagosaboia/Budget
Aplicativo financeiro desenvolvido em entrevista técnica para vaga de estágio como desenvolvedor iOS
yagosaboia/livro-receitas
Meu livro de receitas
yagosaboia/meuprojeto
Laravel sistema de ingresso online
yagosaboia/Openstack-Ocata
Script
yagosaboia/Trabalho-de-conclusao-de-curso-UECE-IOS
Um estudo comparativo entre os diferentes estilos de construção da interface de usuário no ambiente iOS
yagosaboia/yagosaboia.github.io
Trabalhos da cadeira de Computação Gráfica
yagosaboia/Youtube-Spam-Classification
In this project of Information retrieval, we have to solve supervised classification problem to filter YouTube comments whether they are spam or not. Five datasets composed by 1,956 real messages extracted from five videos was used to train our model. By ensemble of Logistic regression, Random Forest and Gradient Boosting we achieved max accuracy of 98%. I managed and worked in this project as Team Lead. Programming Language: Python