Video game rating analysis and prediction
July 2025
Link
Technologies used
- Data Analysis: Python with Pandas
- Data Aquisition: Kaggle Datasets by asherkatz and Web Scraping with Beautiful Soup 4
- Data Visualization: Matplotlib
- Presentation: Jupyter Notebook with nbconvert to HTML with Reveal.js
As part of my data literacy (Itroduction to data science) course, I analyzed a dataset of video game ratings and created a predictive decision tree model to estimate future ratings based on game features. The project utilizes both pre-existing dataset (for ESRB ratings) and web scraping technique to gather additional data (german USK Ratings).
The project is in the german language and can be viewed as a Jupyter Notebook presentation here.