Key Words: NLP, Web Mining, Recommendation System, Employment Analysis
-
Updated
Nov 25, 2024 - Jupyter Notebook
Key Words: NLP, Web Mining, Recommendation System, Employment Analysis
Unemployment & Industry Analysis in India (2019–2020) using Python, EDA, and real-world datasets.
A comprehensive data analysis project examining 435 alumni records from the Faculty of Science and Technology, UIN Jakarta, focusing on employment outcomes, academic relevance, entrepreneurship, and program effectiveness through EDA, association rules, and clustering.
Stanford-Coursera: The-AI-Awakening: Implications-for-the-Economy-and-Society (Modules 1-3) offered by Coursera within SCSP program and created by Stanford University.
Policy development toolkit for analyzing unemployment and implementing evidence-based solutions. This framework provides government agencies and policy researchers with analytical tools to diagnose unemployment patterns and design effective interventions.
Comprehensive analysis of NCU alumni employment trends across industries and time periods. Features data visualization, statistical analysis, and research insights for university career services and prospective students.
Analyze unemployment trends and industry insights in India (2019–2020) using data analytics. Discover regional disparities and strategic employment growth. 📊📈
Add a description, image, and links to the employment-analysis topic page so that developers can more easily learn about it.
To associate your repository with the employment-analysis topic, visit your repo's landing page and select "manage topics."