University of Maryland, Fall 2020
Project1 for AMSC808N - Machine Learning & Data Science class
Data visualization and separation using various methods (SINewton, SG, ASM, etc).
Database: US election data by county from 2012 and 2016: http://www.cs.cornell.edu/~arb/data/US-county-demos/
Language: Matlab
Project divided in four parts:
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Comparing SINewton vs. Soft Margins (ASM)
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Stochastic Gradient method
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Testing Subsample Inexact Newton Method
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Stochastic L-BFGS method
How to run? For each part run Project1main_pt{1,2,3,4}.m, eg. Project1main_pt3 for Part3.