An introductory DS (Data Science) project on calculating and predicting salaries for DS roles advertised on Glassdoor
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Updated
Aug 20, 2020 - Jupyter Notebook
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salary-estimator
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Web app that allows guests to predict salary using streamlit
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Updated
Feb 10, 2021 - Python
This tool predicts data science salaries by scraping Glassdoor job descriptions. Features quantify company valuation of key skills. Regression models include Multiple Linear Regression, Lasso Regression, and Random Forest. Random Forest outperformed others. Technologies/libraries used: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.
numpy
machine-learning-algorithms
selenium
pandas
seaborn
matplotlib
selenium-webdriver
regression-models
data-scraping
salary-estimator
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Updated
May 27, 2022 - Jupyter Notebook
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