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This repository is a small POC for implementing a DVC pipeline on the classification of Fashion MNIST data sets using CNN's. Also, implemented is the CI-CD pipeline through GitHub actions which runs the whole DVC pipeline in the background when any changes are pushed to the repository.
MLOPs is very important. This project is focused on applying some sets of principles to create an end-to-end machine workflow that involves data versioning, code versioning, experiment tracking, model registry, and other aspects of Machine Learning operations (MLOps).
Repositório 'dvc-exemplo' para demonstrar para os alunos o uso do Data Version Control (DVC), uma ferramenta de controle de versão para conjuntos de dados, na disciplina de MLOps do curso de extensão no IC/Unicamp.
The Goal of this Project is to give people an estimate of how much they need based on their individual health stituation. Developed and implemented a CI-CD pipeline for generating expense estimates on user information, resulting in a 20% reduction in estimation time and a 5% improvement in accuracy.
My practices in mlops tools 🥵. Feel free to explore the various scripts and files ⚙️. I am just diving into the world of production-ready Machine Learning with streamlined workflows. 🤖