Machine-learning predictions for Draft Kings (NBA) :)
It scraped basically every single player's performance in every single NBA game ever. I tried XGBoost and Keras, and the Keras model outperformed the XGBoost model. Was about to incorporate real-time injury data, so if a player was injured or out that game it would not select them.
In the end it didn't perform too well. I think the limitation was my lack of domain knowledge, and not really knowing what features to select that would predict a players performance. Also data. I hear MLB is more consistent than NBA because there's just more data.
It scraped basically every single player's performance in every single NBA game ever. I tried XGBoost and Keras, and the Keras model outperformed the XGBoost model. Was about to incorporate real-time injury data, so if a player was injured or out that game it would not select them.
In the end it didn't perform too well. I think the limitation was my lack of domain knowledge, and not really knowing what features to select that would predict a players performance. Also data. I hear MLB is more consistent than NBA because there's just more data.