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Jan Meyer's Projects

gradient-boosting-social-media-messages icon gradient-boosting-social-media-messages

This code applies Gradient Boosting on a continuous outcome variable (number of shares). Using a parameter search and two subsequent simulations, the best Parameter combination is approximated. The result outperforms Ordinary Least Square Regression in terms of Mean Absolut Error.

intropythonfords icon intropythonfords

Teaching material for the Introduction to Python at the Data Science Retreat

updating-a-gaussian-belief icon updating-a-gaussian-belief

This code demonstrates the superiority of Bayes' Statistics in online updating of beliefs. A 'Gaussian Bandit' is initiated, which produces samples from an normal distribution with 'unknown' parameters (they are set in the beginning by the user while initiating the bandit). An updating algorithm refines the estimated parameters and their respective distribution with the incoming data. A 3D plot of the resulting Normal-Inverse-Gamma Distribution is plotted (including contour plots) and a predict function provides the probability of observing values within a specified range.

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