{"repo":"darkanita/MLOps_wsPycon2023","free":true,"listed":false,"github":"https://github.com/darkanita/MLOps_wsPycon2023","clone":"git clone https://github.com/darkanita/MLOps_wsPycon2023.git","description":"MLOps Workshop using Weights and Bias (Wandb) and Github Actions.","language":"Python","stars":50,"topics":["github-actions","mlops","mlops-workflow","pytorch","wandb"],"license":null,"category":"machine-learning","readme_excerpt":"WorkShop MLOps - PyCon 2023 This repository is a MLOps project that utilizes WandB to management the Machine Learning Lifecycle and GitHub Actions to orchestrate the different pipelines. The goal of this project is to provide a streamlined workflow for machine learning development, from data preparation to model deployment. WandB is used for experiment tracking and visualization, while GitHub Actions is used for continuous integration and deployment. With this setup, developers can easily track their experiments, collaborate with others, and deploy their models with confidence. References to check Databricks and MLFlow: MLOps - End 2 end pipeline MLOps in Azure Machine Learning MLOps-V2 Overview MLOps Before we begin to understand what MLOps is, let's first review the process of developing a Machine Learning model. Starting from the assumption that the data is already available to us, the steps we have are the following: 1. Data preparation: In this step, data cleaning is performed, missing data is removed, data is normalized, feature selection is performed, etc. 2. Model training: In this step, the model is trained with the training data. 3. Model packaging: In this step, the model is packaged for deployment. 4. Model evaluation: In this step, the model is evaluated with the test data. 5. Model deployment: In this step, the model is deployed for use. 6. Model monitoring: In this step, the model is monitored to detect changes in the model's behavior. Now let's think about wha","default_branch":null,"files":null,"tree":[],"storefront":"/r/darkanita","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/darkanita/MLOps_wsPycon2023/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}