- Create data pipelines in Azure
Creating data pipelines in Azure with Azure Synaps DP-203 Analytics enables data engineers to efficiently process and analyze large amounts of data. This project provides hands-on experience. Opportunity to learn and implement various Azure services, including Azure Synapse Pool analysis, Azure Storage, and Azure Synapse SQ. Source code: Create data pipelines in Azure with Azure Synapse Analytics
- Create a real-time Twitter feed dashboard with AZURE This project integrates Snowflake and Azure to create a real-time Twitter dashboard. The project involves capturing Twitter feeds and storing them in Snowflake, allowing almost Data ingestion in real time. This data will generate popularity feed reports in a usefulness of the board. Source code: Snowflake Azure project to create a real-time Twitter dashboard
- Implement RNN CNN models for Timeseries This project DP-203 exam dumps uses Azure MLOps to implement RNN and CNN models for time series Forecast. The project provides the opportunity to learn and implement Docker-based applications. Implementation techniques on the Azure Cloud platform. Through practical experience with Azure Cloud, participants will learn how to implement these models and leverage their effective forecasting capabilities. Source code: Azure Deep Learning - Implementing RNN CNN models for Timeseries
- Azure DevOps to implement a classification model This MLOps project focuses on using Azure DevOps to implement a classification model. Through this DP-203 dumps project, participants will learn how to effectively implement a machine learning model. That predicts the license status of customers in Azure. The project also emphasizes implementation of scalable CI/CD ML pipelines, enabling seamless integration and delivery of the model. Source code: MLOps using Azure DevOps to implement a classification model
