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Practical ML: Exercise Quality Prediction Report
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
Jasper December 2025 update
Plot
Creator Economy 2026_01_10
Mertens large z analysis
Report from an analysis of large z statistics in Mertens et al. (2022)
Normal Distribution
Plot of standard normal distribution
Diamonds: Brilliance in Data
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.
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Next Word Prediction
Next Word Prediction