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Work for courses taken at University of Chicago
This project forked from ajmaurer/chicago-course-work
Work for courses taken at University of Chicago
This is the work I completed for courses while finishing a Masters of Science in Statistics at the University of Chicago. All my programing work and write ups, to the extent I used latex, will be here. Each course has a separate folder. Subjects and Languages Masters Paper: Python Machine Learning/Nonparametrics - Stat 376, Machine Learning and Large Scale Data: Python, Apache Spark (on Amazon AWS) - Stat 374, Nonparametrics Statistics: R Mathematical Optimization - Stat 310, Convex Optimization: Matlab Applied Statistics - Stat 343, Linear Regression: R - Stat 345, Design of Experiment: R - Stat 347, Generalized Linear Models: R - Stat 302, Bayesian Statistics: R Theoretical Statistics (I ended up handwriting most of these homeworks) - Stat 304, Distribution Theory: Just LaTeX - Stat 301, Mathematical Statistics: Just LaTeX
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