Skip to content
GitHub Universe 2025
Explore 100+ talks, demos, and workshops at Universe 2025. Choose your favorites.
#

xgboost-model

Here are 26 public repositories matching this topic...

Customer churn, or the loss of customers from a service, significantly impacts a company's revenue. This project aims to identify customers at risk of churning using Natural Language Processing (NLP) and Machine Learning (ML). By leveraging predictive analytics, telecom companies can take proactive steps to retain customers and minimize losses.

  • Updated Apr 7, 2025
  • Python

A python project which uses laptop webcam to detect hands by using mediapipe library and then perform some further processing to figgure out hand posture e.g. one, two or Left, Right, The postures are used to control different computer functions e.g desktop switch in windows or mouse control

  • Updated Apr 27, 2022
  • Python

This repository consists of 6 sections, detailing hands on Machine Learning Models: Regression, Classification, Clustering, AssocaitionRuleLearning, Deep Learning and Natural Language Processing Techniques

  • Updated May 10, 2020
  • Python

Improve this page

Add a description, image, and links to the xgboost-model 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 xgboost-model topic, visit your repo's landing page and select "manage topics."

Learn more