This project develops a machine learning model to classify the quality of unilateral dumbbell biceps curls based on accelerometer data. Using a dataset of 19,622 observations, we compared classification approaches and found that a Random Forest model provided the highest predictive accuracy (>99%). This report details the data preprocessing steps, feature selection rationale, and model validation results.

Jasper December 2025 update

Creator Economy 2026_01_10

Report from an analysis of large z statistics in Mertens et al. (2022)

Plot of standard normal distribution

In this presentation, we explore the relationship between: Carat: The weight of the diamond. Price: The cost in USD. Cut: The quality of the diamond’s shape. Swipe or use arrow keys to navigate the slides.

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