2022 Solution Challenge Repository for Team DALGONA
-
Updated
Nov 26, 2022 - Dart
2022 Solution Challenge Repository for Team DALGONA
The classification problem statement to identify whether registered complaint will be disputed by the customer or not.
A Flask-based web app to manage products and vendors, generate shopping lists, and suggest the lowest-price vendors. Built with Bootstrap, SQLite3, and GCP, featuring Cloud SQL integration, and deployed on a Google Cloud VM with Uptime Check and Log Explorer for monitoring.
Developed an interactive dashboard utilizing Google Looker Studio to analyze Uber usage patterns in NYC. Designed a robust data model and implemented an efficient data pipeline using Mage AI on GCP's VM infrastructure. Utilized Google BigQuery for in-depth analytics and leveraged Google Cloud Platform for data processing.
An MLOps implementation to build and deploy an ML-model assessing the efficiency of a manufacturing machine using jenkins (CI), argoCD (CD), gitOps with webHooks for automatic push of code and GCP virtual machine (VM) as remote server.
Add a description, image, and links to the gcp-vm topic page so that developers can more easily learn about it.
To associate your repository with the gcp-vm topic, visit your repo's landing page and select "manage topics."