Skip to content
#

endtoend

Here are 12 public repositories matching this topic...

This project creates a dynamic pricing system that uses real-time data and machine learning to adjust taxi fares in real-time, responding to shifting market conditions. Additionally, it offers users personalized ride booking recommendations to boost satisfaction. Continuous learning capabilities ensure the system adapts and improves over time.

  • Updated Oct 15, 2024
  • Jupyter Notebook
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.

  • Updated May 2, 2022
  • Python

Improve this page

Add a description, image, and links to the endtoend topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the endtoend topic, visit your repo's landing page and select "manage topics."

Learn more