A machine learning project in which I used fitbit-like sensor data from gyroscopes and accelerometers to predict the performance of a weightlifting exercise.

This project goes through the following key steps :

• Raw Data gathering and cleaning
• Model building - RandomForest
• Cross validation and Testing

Link to the GitHub repository

• Machine Learning
• Regression
• Random Forest