A dataset of global salaries in AI/ML and Big Data.
Linear Regression Machine learning The goal is to develop a model that can accurately predict salaries based on relevant features such as job title, years of experience, and education level.
Automated Python script leveraging Pyppeteer to scrape Indeed for salary data, including aggregated salary statistics and details on top companies for specified job titles and locations.
The IT Salary Survey Europe has been taken from Kaggle and EDA has been performed on this dataset to get valuable insight from the data about the salary features in Europe for the year 2020 and find out insights on the relation amongst the features. This led to useful insights on salary, relation between gender and roles, relation between cities…
Do UFT union dues pay for themselves? An analysis of ~492K NYC teacher salary records (FY2015-2025) measuring whether negotiated raises cover the cost of union membership.
Analyse your salary (.csv) over some years in table and chart format.
Project in Python
This program scrapes data, from https://madisonlondon.github.io/mlbsalarydata.github.io/, and pandas, a software library, to organize the salary data and then calculates the average salary as well as if there are any outliers.
Suppose you are about to join a company where you will be paid salary each day two times of your previous day!
Share My Numbers is an app for bootcamp graduates to anonymously share the details of their job offers. Created using React and Firebase.
A Claude Cowork plugin pack for globally-minded IT/tech job seekers. Slash commands to discover visa-sponsorship and remote-hire countries, calculate realistic salaries, find verified job portals, and screen job descriptions against your resume. Grounded in real evidence, not guesswork.
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