GitHub repository: Jack-Etheredge/Steam-Webscraping-Linear-Regression
Primary language: Jupyter Notebook
Created: 2018-04-28T22:33:28Z
Description: I scraped Steam and steamDB data for every video game available for purchase through Steam and then performed linear regression to predict the number of concurrent users. This was done using Selenium and Python. Many Python packages were used including pandas, seaborn, stats models, scikitlearn, fuzzywuzzy.