Title: Use Machine Learning to optimize your ski run.
Challenge Description: Visualize the athlete data to create an understanding of the athletes' skills and profile. Find the optimal run time and time gates before the athlete even needs to put on their skis.
Methodology: Develop a model that can predict the average runtime from several parameters and runs, and then adjust parameters (e.g. entry speed into a turn) to find the optimal run time. Highlight the most significant parameters of an Athletes run to get the most out of training on a particular slope.
Data: Swisski has collected the data of several athletes runs at several courses, including time gates, turn velocities and slalom angles.