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About Me

Interested in the intersection of analytics, statistics, and machine learning methods in urbanism, public health, and engineering. Previous military and civil service with a deep commitment to the public good. Inactive musician with previous work in various roles on tours across North America.

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Nick Kunz's Projects

catboost icon catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

crassmat icon crassmat

Conditional Random Sampling Sparse Matrices

cv icon cv

Curriculum Vitae

discover icon discover

Design optimization tool built for Rhino Grasshopper

dtreeviz icon dtreeviz

A python library for decision tree visualization and model interpretation.

featuretools icon featuretools

An open source python library for automated feature engineering

flow icon flow

Computational framework for reinforcement learning in traffic control

hiclimr icon hiclimr

HiClimR: Hierarchical Climate Regionalization

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

idling icon idling

GRD-TRT-BUF-4I: Ground Truth Buffer for Idling

nestedhyperline icon nestedhyperline

Nested Cross-Validation for Bayesian Optimized Linear Regularization

niaid icon niaid

NIAID DIR Laboratory Descriptions Data Set

nnlm icon nnlm

Nonnegative Linear Models (NNLM) and Nonnegative Matrix Factorization (NMF or NNMF).

particlecloud icon particlecloud

Interactive Particle Simulator Visualization | Traer Physics Library

puphl icon puphl

Proximal Policy Optimization Utilizing Pseudo-Huber Loss

ridgelasso icon ridgelasso

Linear Regularization | Columbia Business School

smogn icon smogn

Synthetic Minority Over-Sampling Technique for Regression

submarkets icon submarkets

Applied Spatially Constrained Multivariate Clustering

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