This project use data from racers' past 4 years marathon history to predict whether they will participate in 2016 Montreal Marathon and what finishing time they will probably achieve.

Project consists of three parts. 1. Use Logistic Regression to predict participants. 2. Use Naive Bayes to predict participants. 3. Use Linear Regression to predict finishing time.