GitHub / reece-iriye / Exploring-Errors-in-Regression

Explored Machine Learning regression models of varying flexibility and how flexibility relates to MSE, Bias, and Variance in our predictions for MATH 4377: Math of Machine Learning. Visualizations of the Bias-Variance trade-off are included, and the project heavily relied on Spline Regression degrees of freedom for flexibility measuring.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/reece-iriye%2FExploring-Errors-in-Regression

Topics: bias-variance, bootstrap, flexibility, gaussian-noise, machine-learning-algorithms, mse, randomization, regression

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