This is the football goals prediction exercise for YFS workshop on 9th June 2018.
The dataset is extracted from Kaggle, European Soccer Database. It contains match results from season 2008/09 to 2015/16 across 11 major european leagues. This exercise aims at providing the basic instructions in building a simple linear regression model for predictive analysis. Objective: Predict total number of goals in football matches using information about the season, home and away team names, and which league it is in. Result: Mean Absolute Error = 1.338305 Make sure you have a stable internet connection!