GitHub topics: endtoendpipeline
Chandru-21/End-to-End-Movie-Recommendation-System-with-deployment-using-docker-and-kubernetes
Content Based Recommendation system uses attributes of the content to recommend similar content. It doesn't have a cold-start problem because it works through attributes or tags of the content, such as actors, genres or directors, so that new movies can be recommended right away.
Language: Python - Size: 5.17 MB - Last synced at: 21 days ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 5
Abhi0323/Real-Time-Customer-Segmentation-with-Scalable-Kubernetes-Deployment-and-CI-CD-Integration
Developed and deployed a scalable machine learning model for real-time customer segmentation using FastAPI, Docker, Kubernetes, and GitHub Actions, with an end-to-end CI/CD pipeline on Azure Kubernetes Service, enhancing targeted marketing strategies through robust and seamless integration and deployment
Language: Python - Size: 22.4 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 8 - Forks: 6
rawatsudhir1/CustomVisionPipeline
This blog post shows how to build loosely coupled pipeline for Azure custom vision model.
Language: C# - Size: 29.7 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
debidattasuryaprakash/video-chatting
Video chatting app under error fixing
Language: JavaScript - Size: 32.7 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
Bhavik-Jikadara/Student-Performance
This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course.
Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
aakashsyadav1999/Hotel-Reservations-Dataset-mlflow
The online hotel reservation channels have dramatically changed booking possibilities and customers’ behavior. A significant number of hotel reservations are called-off due to cancellations or no-shows. The typical reasons for cancellations include change of plans, scheduling conflicts, etc.
Language: Jupyter Notebook - Size: 44.6 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
