Super_Bowl_Prediction_2018
The goal of this project is to predict the final result for super bowl based on the 2018 games. Please see the dataset I used here.
To build the Linear Regression Model, I used the variables of Opponent, Game Location, Team_Score, Opponent_Score, Team_Passing, Team_Rushing, Total Team Yards, Team_Turnovers, Opponent_Passing, Opponent_Rushing, Total Opponent Yards and Opponent_Turnovers.
By looking at the graph, they do have some correlations among some of the variables.
The funny thing is I don’t really understand this sport, but I can still build a model to predict the result, even though my predition was proved wrong lol. I guess this is the beauty of the competition.
Code
Please see the Jupyter Notebook for details.