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madquirk-hash's Projects

metacost icon metacost

P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around it. The procedure, called MetaCost, treats the underlying classifier as a black box, requiring no knowledge of its functioning or change to it.

monte-carlo icon monte-carlo

A Monte Carlo Simulation that applies the Black-Scholes-Merton Jump Diffusion model

mssa icon mssa

Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series

nolitsa icon nolitsa

A Python module implementing some standard algorithms used in nonlinear time series analysis

peip icon peip

MATLAB code for examples and exercises for the 3rd edition of Parameter Estimation and Inverse Problems

piml icon piml

The official PyTorch implementation of "Physics-infused Machine Learning for Crowd Simulation" (KDD'22)

portfolio icon portfolio

code to compare different covariance matrix estimators for portfolio optimization

prince icon prince

:crown: Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

pyspace icon pyspace

Signal Processing And Classification Environment in Python

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