A set of Google colab notebooks with my work on data analysis
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.
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
Tableau analyses published from my Tableau public profile
UNEMPLOYMENT ANALYSIS OF INDIA WITH PYTHON
Simple task to practice my data visualization skills
Oaisis internship
This project shows step by step how to clean & prepare a data set(data wrangling) for analysis using different tools like Pandas etc. and further do a Exploratory data analysis to give an idea and make the data usable for further reaserches and models.
We use data from EuroStat from the 2000s and 2010s for a ls-regression of unemployment using the homeownership rate. We do this to test the Oswald Hypothesis.
Unemployment Analysis with machine learning .Unemployment is measured by the unemployment rate which is the number of people who are unemployed as a percentage of the total labour force. We have seen a sharp increase in the unemployment rate during Covid-19.
For CipherByte Technologies Internship . Tasks - Iris Flower Classification , Unemployment Analysis with Python
Small data visualisation project showing unemployment rate on interactive map
A repository with our team's final Python project in MGMT 586 Python course at Krannert School of Management, Purdue University.
Package for creating various plots of US employment and unemployment
Project where we take a tsv provided by the EU an we create a map for each year from 2007 to 2018 with the unemployment rates in each country and build a gif file with it. We use folium especially choropleth for maps, pandas to manage data, selenium to open each html file and save it as png and imageio to turn those images into a gif file. #Pyth…
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