yassine-boukhari Goto Github PK

30-days-of-javascript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.

atypicity-for-ml

Implementation on R of atypicity as a criterion for classification

big_data_project_forecasting_rent_prices

End-to-end Machine Learning project for real estate

black_scholes_volatility

implementation on jupyter notebook of black_scholes model for studying the versatility of the different financial markets

comparison-between-stochastic-differential-equation-and-fed

deep_learning_projects

A repo that will contain any side project related to deep learning's craft (MLP, CNN, RNN, NLP...) fo concrete application

finite-element-volume_methods

Implementation of linear and non linear differential equation algorithm on Matlab

hddt-for-decision-tree-

Implementation of Hellinger distance as segmentation criterion for decision tree (ML) on Python

imbalanced-data-with-decisions-trees

Implementation of various decision trees models on R to fight complication of imbalance

matlab-numerical-analysis-programs

mcmc-implementation-in-bayesian-inference

This repository contains a project around the implementation of Monte Carlo's Methods for reducing the variance of a model and an expension of its use thanks to markov's chains (MCMC) in Bayesian inference for approximating a parameter

ml_project_heart_disease

monte-carlo-markov-chains-using-frank-s-copulae-and-more

notebook-high_dimensional-statistics-sparcity-and-thresholds-

np_hard_four_colors_mcmc

population-dynamics-models-

A series of implementation of discrete and continuous models on Matlab

practical-implementations-enpc

project-non-parametric-statistics-for-density-estimation

The main objective of this project was using R to implement on various models the MISE(mean integrated square error) to estimate a bandwith using optimization in order to approximate our theoritical density. A side note to this project was also the approximation using cross-validation's method implemented automatically in R and also implemented by hand.

traveling_salesman_mcmc