E-Hub is an employment platform

An internship project analyzing unemployment rates using Python, including code, data, and a Streamlit web application.

Jupyter notebooks for analysis of Eurozone GDP, yields on government bonds, inflation expectations, unemployment and participation rates, money supply, personal consumption and savings, stock market. Using APIs from Eurostat, ECB, OECD and Yahoo-Finance.

The unemployment rate is the last years is going down despite the rise of AI and all of these advanced technologies.

Springboard Capstone Project 1

This program seeks to explore the relationship between the Effective Fed Funds Rate (target variable) and the most common parameters the Fed uses to justify their rate hikes/drop decisions when communicating to public, namely personal consumption expenditures inflation, real gross domestic production growth, and unemployment rate (predictor vari…

ADS-506 Time Series Final Project: Forecasting Unemployment Rates in California for the year 2023

Data science capstone project that analyzes the unemployment rate of the Philippines with relation to the establishment of Senior High School

This project investigates the relationship between education levels and unemployment rates across selected Asian countries using statistical analysis and data visualization in SPSS.

Unemployment & Industry Analysis in India (2019–2020) using Python, EDA, and real-world datasets.

Automated analysis of the U.S. unemployment rate with FRED data using Selenium, Pandas, and Seaborn.

Package for creating various plots of US employment and unemployment

This project is an end-to-end machine learning solution for analyzing the unemployment rate of a particular region. The project provides a user-friendly interface for visualizing the estimated number of employees and the unemployment rate according to different regions of India during Covid-19.

Package to View BLS Data in RShiny

The aim of this project is to create automated report which shows current coronavirus information scraped from Wikipedia and unemployment analysis based on downloaded dataset from OECD website.

Studies of the changes in the U.S. labor market in 2000-2021 using the monthly Current Population Survey.

An analysis of Chicago Socioeconomic data

Conducting further analysis on with S&P 500 & The U.S. Job Openings (JOLTS) across all Sectors.

Predicting Canada's unemployment rates using Linear Regression and LSTM models with data preprocessing and evaluation.