Yassine's repositories
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
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
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
Population-Dynamics-Models-
A series of implementation of discrete and continuous models on Matlab
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.