ENPM808A: Introduction to Machine Learning Final Project
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Updated
Jul 11, 2023 - Jupyter Notebook
ENPM808A: Introduction to Machine Learning Final Project
Raw files for a summary of various measures of dependency.
Polynomial Regression hand-written digit classifier that can recognize digits from the MNIST dataset.
This repository contains fun coding!
A new version code for the porject "RobustFlightsOld" to make it more readable and high productivity.Then add a new efficace method to trace the data uncertainty
Monte Carlo simulation to estimate the connectivity probability of Erdős–Rényi random graphs G(n,p) G(n,p), with CLT confidence intervals and Hoeffding/Chernoff sample-size bounds.
4. Korelacija / zavisnost Pearson, Spearman, Kendall, partial correlation, distance correlation, Hoeffding D, MIC/MINE, maximal correlation, mutual information, conditional MI, normalized MI, pointwise MI (PMI), HSIC, copula (Gaussian, Clayton, Gumbel, Frank, t-copula), rank correlation matrices
Project 3 of CISC 820 Quantitative Foundations - Confidence Interval
binomial distribution and theorem and poisson in C++
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