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analyse-securite-routiere

apriori

This is my implementation of the apriori algorithm based on the explanations on the web page https://stackabuse.com/association-rule-mining-via-apriori-algorithm-in-python/

bank_data_statistics

big-mart-sales

The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales. The data has missing values as some stores do not report all the data due to technical glitches. Hence, it will be required to treat them accordingly.

business-opportunities-analysis

Machine Learning is widely to classify textua documents. In this project in particular, I'm interested in detecting business opportunities among news papers (written in a simple XML format). But before doing so, I would like to mine some useful informations about characterize a business opportunity (words frequency, idf, entropy...) as well as the links between them (social mining)

chifoumi

Implémentation du jeu de chifoumi (pierre-feuille-ciseaux) en Java

creation-avion-papier

Il s'agit de la description des prototypes d'avion en papier

dash_test

dashboard_avec_dash_plotly_python

deepwalk

Here I propose my very own implementation of the Deep Walk algorithm based on the explanations in the paper "Deep Walk: Online Learning of Social Representations"

didcoding_resume_template

This is a free resume template to help you stand out in a crowd and land your dream developer job.

disquaire

Ce projet est inspiré du sujet fil rouge du cours OpenClassrooms "Découvrez le framework Django"

dog-api

ds-mental-health-tech-industry

Dans ce projet, je réalise l'analyse et l'exploration d'un dataset contenant des informations sur la santé mentale des personnes travaillant dans l'industrie de la technologie

dvc-test

Just to try out DVC

e-commerce-ddd

e-commerce-django

Simple e-commerce website with Django for training purposes

educafun

Projet d'élaboration d'un logiciel éducatif dans le but d'aider les parents, maîtres, maîtresses, tuteurs... de faire apprendre leurs enfants sans qu'ils s'en rendent comptent...

etude_appels_offres_energies_renouvelables

Dans ce projet, j'entreprends d'effectuer une analyse approfondie des appels d'offres de soutien aux énergies renouvelables publiés depuis 2017

fredo-restaurant

Ce projet sert d'exemple pour l'article "Fixtures qui se ressemblent, builder qui les assemble"

gimp-training

grande-distribution

graph-algorithms-implementation

Training is always good! In this repo, I re-implement some algorithms related to graphs

handwritting-recognition

Use of logistic regression and neural networks to build a system able to recognize handwritten digits (0 to 9). The project is carried out in Python

histology-of-medicinal-plants-text-analytics

Analysis of the text in the book "Histology of medicinal plants" from Project Gutenberg

imbalanced-learning-on-a-credit-card-transactions-dataset

Even though most of the machine learning algorithms assume as a prerequisite that the data they are dealing with are i.i.d, in real-life, they are not most of the time. In fact, data scientiststs often have to deal with imbalaced datasets. In this repository, I implemented 2 strategies to cope with imbalanced data in the specific case of a credit card transactions dataset

iris-dataset-classification

The Iris dataset, also called *Fisher's Iris Dataset* or *Anderson's Iris Dataset*, is a one of (if not) the most known dataset in the pattern recognition literature. Each entry contains morphologic information about different instances of an iris flower as well as the corresponding species of iris that corresponds to it. The set of possible species comprises _Iris Setosa_, _Iris Versicolor_ and _Iris Virginica. From that dataset, the machine learning task performed in this repository is to create a model able to determine the species of an iris flower given these morphological information

javascript-web-crawler

This is a simple implementation of a web scrapping tool in Javascript inspired by the tutorial at http://www.netinstructions.com/how-to-make-a-simple-web-crawler-in-javascript-and-node-js/

kata-card-games

kata-christmas-delivery

Implémentation du kata Christmas Delivery : https://codingdojo.org/kata/christmas-delivery/