Measured parameters of real data recorded at a range near Stellenbosch, the training set includes the input parameters as well as the landing location and apex we want you to predict.
02 what you predict
On a short urban range the landing and apex would not be measured, for the test set on input parameters you need to predict these, your predictions will be scored on the held-back portion of the data.
03 pick your approach
Physics-based modelling, machine learning, or a hybrid of both - entirely your call. AI-assisted approaches are welcome, just don't burn the budget on tokens or model runs.
04 make it believable
Show how the ball would have flown from launch to landing if no net was present. Show believable bounce and roll for a bit of extra credit.
05 Prove It Generalises
Your predictions are scored against the test set with inputs only - shots your model has never seen the answers to.
06 Write It Up
A sample Writeup submission is provided on Kaggle, add your prediction and code to the writeup and a short summary on what you did as well as any files and links you think is needed.
enter on kaggle
The data, the full spec, and your submission all live on Kaggle. Head over, download what you need, and submit your Writeup when you're ready.
