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Duke-Datathon-2019
Duke-Datathon-2019 Public🥇1st place out of 57 teams, which included 350 graduate and undergraduate students, in a 11.5-hour dataset challenge sprint. Provided two random forest classification models for Valassis to predict…
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K-Means-K-Median-Clustering
K-Means-K-Median-Clustering PublicProved mathematical basis for cluster updates for k-means and k-medians clustering. Implemented code on mice locations, to optimize placement of K mouse traps.
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LS-SVM-on-Toy-Dataset
LS-SVM-on-Toy-Dataset PublicImplemented Least-Squares SVM on Toy Dataset by hand, comparing it to svm library. Then observing how change parameters affect training errors, test errors, and contour plots.
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Adaboost-on-House-Prices
Adaboost-on-House-Prices PublicImplement Adaboost by hand on house prices, using L2 loss. Then investigate variable importance and compare mean squared error of our model against linear regression and decision trees.
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