Developed an Employee Attrition Prediction System using Gradient Boosting with 91.16% accuracy, identifying key retention risk factors across 1,470 employee records with 7 engineered features.

Role-based Features:HR: Add, Edit, Delete, and View both Programmers and Interns.Programmers:View only Interns related to their programming field (e.g.. Python,,C++).Assign tasks to specific Interns.Check task status: Complete, Not Understood, or Pending.Delete Interns. Interns: View other Interns. Check tasks assigned by Programmers.

*E-Commerce API* RESTful API for e-commerce platform. Built with Node.js, , Mongo GitHub model description: *ShopLink API* E-commerce linking platform API. Built with Node.js, Express, MongoDB. Enables linking Amazon, Shopify stores without mobile verification.DB.

A senior-level data science project analysing the global mental health crisis through the lens of workforce productivity and economic impact — covering 30 countries, 10 years (2015–2024), and 8,500 survey respondents across 4 integrated datasets.

Site web personnel étudiant en informatique et passionné de football

This code is a completely meaningless combination of random Japanese text, loops, random number generation, and elements of chaos. It serves no purpose, but it can confuse you while reading it. This program is a breeding ground for bugs, and using it is at your own risk! 🚨 Note: This code has no practical use, but it exists purely for the enjoyme

this repo is contain some glb models