GitHub / Nidal-Shahin / Job-Market-Cheat-Codes
A machine learning pipeline for analyzing job listings — built entirely on synthetic data, fine-tuned with GPT — to predict salaries, classify job roles, and cluster careers like a data wizard
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nidal-Shahin%2FJob-Market-Cheat-Codes
PURL: pkg:github/Nidal-Shahin/Job-Market-Cheat-Codes
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 8.49 MB
Dependencies parsed at: Pending
Created at: about 1 month ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Topics: ai, artificial-intelligence, classification, clustering, data-science, eda, machine-learning, preprocessing, regression, sbert, supervised-learning, transformers, unsupervised-learning