A simple walk-through of image recognition using TensorFlow.Keras on GPU.

The goal is to make a proof of concept of a new ranking algorithm for Drivy's search engine.

This python script demonstrate a pipline running on a Docker container of gathering data through hyper links, processing it, saving it in mongo DB then using Flask to show results.

An analysis of a facebook conversation between two individuals

Contains the abstract and the published paper

Object detection and recognition in digital images using Chebychev indexation and Support Vector Machines

In this challenge, i made the analysis of what sorts of people were likely to survive. In particular, i applied the tools of machine learning to predict which passengers survived the tragedy.

The optimisation methods used are : Brute force, Basic branch and bound, Advanced branch and bound, Dynamic programming

Contrast enhancement in digital images