Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

My assignemt solutions for CMSC764:Numerical Optimization course offererd by the University of Maryland

Gaussian Process Regression (GPR) with non-Gaussian likelihoods using robust infinite-dimension Monte Carlo Markov Chain (MCMC) sampling for spatial inference problems

MCMC algorithms to sample random bipartite graphs with given left and right degree sequences and BJDM.

Investigating the efficacy of diagnostic kits used for parasitic disease surveillance in the Philippines.

Using the Ising Model and a Monte-Carlo Markov Chain Approach to Illustrate Magnetic Phase Transition

Repository containing projects and assignments from 'Introduction to Graphical Models and Deep Learning' Course taken at BGU

Code to estimate the mass of a galaxy cluster with weak lensing using Monte Carlo Markov Chains (MCMC).

Implémentation d'algorithmes simples de Data Science

[NUS Course Project] My solution for NUS course project Digital Signal Processing: Pattern recognition with MATLAB.