(Graph) Data Scientist & Python developer
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May 2020
A small guide to follow the course using the Graph Data Science plugin instead of the Graph Algorithms library.
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Apr 2020
An overview of ensemble methods: bagging VS boosting techniques.
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Mar 2020
Thoughts about ethical AI and the role of data scientists
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Mar 2020
My talks at PyConFR 2019 in Bordeaux, in French
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Mar 2020
Numpy implementation of the PageRank algorithm and convergence visualization with animated gif
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Feb 2020
A follow-up from the previous time series model using Tensorflow gradient descent
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Feb 2020
Using the sk-learn API for a custom model created with numpy/scipy
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Feb 2020
How to write a PostgreSQL procedure that will both return results and log them into a table
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Jan 2020
A small hand-made model to minimize a dealer losses
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Oct 2019
The path to Global GraphHack 2019 featured project
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Aug 2019
Deploy a recommendation engine in 5 minutes with Neo4J and Graph QL
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Jun 2019
How to use jupyter extensions to bring interactivity in your notebooks
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May 2019
Node importance algorithms illustration using Zachary's karate club dataset.
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May 2019
Or the discovery of dataclasses
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Apr 2019
You can directly use an existing graph db in your local environment.
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Mar 2019
You can directly use an existing graph db in your local environment.
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Feb 2019
pgffor package to use for loops in LaTeX
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Dec 2018
A short non-exhaustive review on (online) books and tutorials about bayesian statistics
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Dec 2018
I passed the neo4j graph database certification.
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Dec 2018
My solution to a coding exercice that was given to me a few times ago using graphs and recursion.
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Nov 2018
How to use SQL triggers to maintain a backup table.
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Nov 2018
What I have learned during the past few weeks.
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Nov 2018
How to create a neighbour matrix with scipy tools
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Oct 2018
Thoughts about my participation in the lux4good hackthon
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Aug 2018
Different kind of data scientits positions, company advisory guy or central actor
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Aug 2018
Write a simple webservice with python and flask