majidakh Goto Github PK

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.

pandas-ta

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 100+ Indicators

performance_dashboard

ridge

Efficient python code for running ridge regression with cross validation

scrapingcia

Scraping some data from the CIA factbook

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.

system-programming

multi-thread, Synchronisation, fork and more.

tensforflow_quick_start

Simple example of binary classification, multi-class classification and regression by neural networks.

train_demand_prevision