A machine learning project coded in R which demonstrates the very high prediction accuracy which can be obtained with carefully collected and processed data. This project also illustrates the duration machine learning algorithms require, this one took nearly 7hrs to complete on a dual-core computer.
- Question:How well can the quality of a bicep curl be predicted?
- Answer:With random forest machine learning, over 99% accuracy can be obtained for predicting the quality of bicep curl.
- Challenges:Modeling a large dataset (150+ variables, >19,000 samples).
- Purpose:To discover which machine learning technique best predicts the quality of bicep curl.