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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).
Machine Learning project aiming to classify mushrooms edibility, developing a model to predict whether a mushroom is safe to eat or poisonous based on its characteristics.
Code base para desenvolvimento de modelos de machine learning baseado no padrão da DVC. Este modelo serve para predição de preços de laptops com pipelines de integração para registro de artefatos, modelo e deployment em produção.
This project focuses on clustering analysis of a Kaggle dataset using various techniques and hyperparameters. The primary objective is to explore and apply different clustering algorithms to uncover patterns and groupings within the data. The project utilizes a Data Version Control (DVC) repository to manage the dataset and experiment tracking.
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.