This is a project for the Harvard Extension School class on Wearable devices.
The goal is to develop a prototype of a device and software that will predict the result of a golf putt.
The putts were recorded and tested using an indoor putt green.
\ Code - a folder with all software related code
\Code\1_DataCollect - script for collection of the raw data \Code\1_DataCollect\data - collected data, response variable, and exaggerated swing data for axes alignment
\Code\2_FeatureExtraction - iPython notebooks for putt detection and feature extraction \Code\2_FeatureExtraction\data - cleaned dataset of putts, test and train datasets pickled
\Code\3_Modelling - iPython notebooks with CatBoost model training and training results \Code\3_Modelling\data - trained model
\Code\4_Implementation - python scripts that implement the prototype of the app \Code\4_Implementation\data - trained model, .csv files used to debug the script
\Presentation - project report presentation
\Report - project report (.doc and .pdf)
You can watch a video presentation here [https://youtu.be/2S7rDOkyQkU]