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Classifying Barbell Lifting Techniques Using Random Forests and Sensor Data
This project is part of the Coursera Practical Machine Learning course. It involves building a predictive model to classify how individuals perform barbell lifts using data collected from accelerometers on various parts of the body. The project demonstrates the application of machine learning techniques to real-world sensor data.