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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.
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…
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.
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.
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.