A Big Data Processing course project at the University of Oulu, on a 97,405-game Steam dataset.
I analyzed the dataset with Apache Spark and PySpark: exploratory analysis followed by modeling with Random Forest and Linear Regression, identifying success factors such as engagement, recency, and indie/action genres. The Random Forest Regressor reached 69% variance explanation.