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apriori

Data mining apriori algorithm in python

collection-from-scratch

Create a collection handler from scratch using scala functional programming language

filesystem-with-scala

create a virtual filesystem (like mac and linux terminals) using OOP in Scala

ga-hello-world

hello-world-grafana

Discover working on time series with grafana as a principal dashboard

hello-world-kube

Hello world project using simple kubernetes example based on https://www.youtube.com/watch?v=s_o8dwzRlu4

insert-cassandra-from-json

An algorithme to insert data from json file to cassandra database, using C# language, en utilisant les libraires Newtonsoft.Json et Cassandra,

instragram

A web interface to interact with a part of Instagram database, using mongodb server

kafka-streams

kafka-streams-course

Learn Kafka Streams with several examples!

life-garantee

An insurance company wants to build an appetite score for a "life accident guarantee", in a context of cross selling. The data come from various subsidiaries of the group: other products held, sociodemographic elements, lifestyle or consumption patterns, and the observed loss experience. Appetite is designated by a binary column (the target) and the goal is to predict lines with a positive target. Performance is measured by the lift: percentage of customer's appetite identified in the top 10% score.

mlops-nba

Project used to demonstrate how to pass from notebooks to data pipeline for an AI project

mongodb

A web interface linked to a mongodb database, the interface manages the connection and launching the server (when the mongodb server is installed of course!). It handle displaying results of the queries that the user defines, but also some predefined queries. The results are displayed in a table and can be viewed in a JSON array

nba-analysis

Our dataset contains data on shots taken during the 2014-2015 season, who took the shot, where on the floor was the shot taken from, who was the nearest defender, how far away was the nearest defender, time on the shot clock, and much more. It will be useful for evaluating who the best shooter is, who the best defender is, the hot-hand hypothesis, etc.

nba-data

Vizualising and EDA data using bokeh

polynomes

Manipulate polynomial in C language (derivate,multiplication,etc..)

pyspark

redux-essentials

Followed react redux essentials tutorial here: https://redux.js.org/tutorials/essentials/

road-accidents-analysis

simpleparql

travel-salesman-problem

This is some algorithms used to approximate the longest path of the traveling salesman problem applied to cities in France. We use an exact solution and two heuristic approximations for this NP problem. Finally we create a spanning tree with some indicated modifications and calculate its cost.