Pinned Repositories
ComputerVision
In the context of image recognition on CIFAR10 data, the following algorithms have been implemented and tested: Naive algorithm - Closest neighbor - Knn Sophisticated algorithm: From the article: "An Analysis of Single-Layer Networks in Unsupervised Feature Learning "
covid_19_hospitalisation
During this project I try to model the number of people hospitalized per day knowing the number of cases tested positive.
github-final-project-
gkpbt-css-circle
css-circle
java
File Management, Code architectures, Strategy & Radar, Dijskra, Model View Controler, Composite strategy
jbbmo-Introduction-to-Git-and-GitHub
Introduction to Git and GitHub
KalmanFilter
A kalman filter for calculating a trajectory with stochastic noise (from scratch) using tech as, Python, CMake, pybind11, C++.
naive-bayes
Simple naive bayesian classifier implemented in Ruby
Optimisation
Clustering sur Front de pareto 2D.
ScrapingCIA
Scraping some data from the CIA factbook
MajidAkh's Repositories
MajidAkh/ComputerVision
In the context of image recognition on CIFAR10 data, the following algorithms have been implemented and tested: Naive algorithm - Closest neighbor - Knn Sophisticated algorithm: From the article: "An Analysis of Single-Layer Networks in Unsupervised Feature Learning "
MajidAkh/covid_19_hospitalisation
During this project I try to model the number of people hospitalized per day knowing the number of cases tested positive.
MajidAkh/github-final-project-
MajidAkh/gkpbt-css-circle
css-circle
MajidAkh/java
File Management, Code architectures, Strategy & Radar, Dijskra, Model View Controler, Composite strategy
MajidAkh/jbbmo-Introduction-to-Git-and-GitHub
Introduction to Git and GitHub
MajidAkh/KalmanFilter
A kalman filter for calculating a trajectory with stochastic noise (from scratch) using tech as, Python, CMake, pybind11, C++.
MajidAkh/naive-bayes
Simple naive bayesian classifier implemented in Ruby
MajidAkh/Optimisation
Clustering sur Front de pareto 2D.
MajidAkh/ScrapingCIA
Scraping some data from the CIA factbook
MajidAkh/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 100+ Indicators
MajidAkh/performance_dashboard
MajidAkh/ridge
Efficient python code for running ridge regression with cross validation
MajidAkh/SmartBeta
créer un modèle de gestion de portefeuille dit "smart beta": il s'agit d'un ETF (aka indice) dont la pondération n'est pas faites sur la capitalisation boursière (aka market cap) mais sur une ou des stratégies d'investissements (aka facteurs). L’objectif du smart beta est d’atteindre une performance supérieure et/ou un risque inférieur à un indice de reférence.
MajidAkh/system-programming
multi-thread, Synchronisation, fork and more.
MajidAkh/Tensforflow_quick_start
Simple example of binary classification, multi-class classification and regression by neural networks.
MajidAkh/train_demand_prevision