Research

Cycling FTP Prediction

An experiment in predicting cycling Functional Threshold Power (FTP) from training data, using feature engineering and several machine-learning models.

Approach

I built features from time-series training data and compared LSTM, Random Forest and Gradient Boosting models.

Status

An older experiment. It sits right where my training and my day job overlap, so I may well come back to it.