A dataset of global salaries in AI/ML and Big Data.
A dataset of global salaries in DevOps/Cloud/SRE.
A dataset of global remote work salaries.
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.
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…
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.
Script that allows you to quickly calculate the minimum, maximum and average salary from all active offers on justjoin.it
Suppose you are about to join a company where you will be paid salary each day two times of your previous day!
This project aims to provide NYC teachers with a comprehensive understanding of their expected annual salary growth, factoring in the impact of UFT salary contracts from 2015 to 2023.
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.
Analyse your salary (.csv) over some years in table and chart format.
Share My Numbers is an app for bootcamp graduates to anonymously share the details of their job offers. Created using React and Firebase.
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