Steam-Webscraping-Linear-Regression. 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.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.