Yassine-Boukhari

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

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

Yassine-Boukhari/HDDT-for-Decision-Tree-

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

Yassine-Boukhari/Imbalanced-data-with-Decisions-trees

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

Yassine-Boukhari/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

Yassine-Boukhari/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.

Yassine-Boukhari/Atypicity-for-ML

Implementation on R of atypicity as a criterion for classification

Yassine-Boukhari/Big_Data_Project_Forecasting_rent_prices

End-to-end Machine Learning project for real estate

Yassine-Boukhari/Black_scholes_Volatility

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

Yassine-Boukhari/Comparison-between-Stochastic-Differential-Equation-and-FED

Yassine-Boukhari/Deep_Learning_projects

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

Yassine-Boukhari/Finite-element-volume_methods

Implementation of linear and non linear differential equation algorithm on Matlab

Yassine-Boukhari/Matlab-Numerical-Analysis-programs

Yassine-Boukhari/ML_Project_Heart_Disease

Yassine-Boukhari/Monte-Carlo-Markov-chains-using-Frank-s-Copulae-and-more

Yassine-Boukhari/Notebook-High_Dimensional-statistics-Sparcity-and-Thresholds-

Yassine-Boukhari/NP_Hard_Four_Colors_MCMC

Yassine-Boukhari/Population-Dynamics-Models-

A series of implementation of discrete and continuous models on Matlab

Yassine-Boukhari/Practical-Implementations-ENPC

Yassine-Boukhari/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.

Yassine-Boukhari/Traveling_Salesman_MCMC