Neural nets for playing the game of Go
A round robin tournament of different architectures of neural nets to see which one is the best go player
A round robin tournament of different architectures of neural nets to see which one is the best go player
A comparison study of various unsupervised models: k-means, k-modes & k-prototypes
Statistics of the people who bought a treadmill, what are their specificities in order to recommend a product ? and clustering of those customers in differen...
Fowl Escapades - how to use deep learning to classify audio recordings of birds
Analysis of patients observations, health measures and how to build a machine learning model to diagnostically predict whether or not a patient has diabetes
Basic concepts of Generatives Adversial Networks (Deep Learning) with discriminator & generator, to produce digits similar to hand written ones
In this 2nd part, let’s analyze the data for a country of each cluster (variations over time and so on…)
In this 1st part, we’re going to make clusters of european countries with similar wind generation capacities.
Build a machine learning model to help physicists identify particles in images, Deep learning models & best solution
Build a machine learning model to help physicists identify particles in images - intro, EDA, 1st models & submissions
In this 3rd part, we train usual M.L and Deep Learning models in order to forecast the solar electricity generation in the Paris area
In this 2nd part, let’s analyze the data for a country of each cluster : statisticals insights, what a typical day/year look like ?
This is an old challenge by the E.N.S. After an exploratory data analysis to understand how data is structured, i’ll use various ML models including deep lea...
This is the 2nd part of a data science challenge organized by the E.N.S, i’ve used various ML models including deep learning : RNN (espacially GRU)
In this 1st part, we’re going to make clusters of european countries with similar solar generation capacities.
Kaggle challenge - Predict whether a question asked on Quora is sincere or not
Data Science challenge - Prediction of renting bicycles in Washington D.C
How capable each applicant is of repaying a loan? Various machine learning models will answer that question
Predict behavior to retain customers before the leave…
Who are your target customers ? with whom you can start marketing strategy easy to converse - K-Means Analysis
An other data science project intended to feature engineering practice, RFs, and gradient boosting
A Kaggle challenge intitled Adult Census Income
Data science study using the dataset ‘MovieLens and the LightFM library
A classic Kaggle challenge using deep learning and C.N.N (Convolutional Neural Networks)
Data Science can help to identify fraudulent credit card transactions based on logs
Using various efficient Machine Learning models trained with California districts census from the 1990.
An exhaustive tutorial on data wrangling & analysis with Pandas
An exhaustive tutorial on scientific computation with Numpy
All the advanced concepts with concise examples (OOP, functions…)
All the core concepts and syntax in a concise summary that comes with an Anki Deck to memorize all this stuff
How to create dynamically & statically linked ELF binaries from python script with Cython
How to mimick human behavior with a fake user agent header, a random timer in order not to be flagged as a bot
A little more advanced scraping script with bs4
The most commonly used code snippets and patterns for easy reference
How to use list comprehensions and generators with Python
Few examples in order to illustrate how to code in a Pythonic way
How to master loops in Python
An aggregation of the most interesting visualizations you can easily do with Plotly Express
A simple example of scraping Google Translate in Python using the Selenium project
How to retrieve the most frequently used English words, with their definitions, explanations, examples, sounds… on OxfordLearnersDictionaries.com with Beauti...
In this 2nd part, let’s analyze the data for a country of each cluster : statisticals insights, what a typical day/year look like ?
This is an old challenge by the E.N.S. After an exploratory data analysis to understand how data is structured, i’ll use various ML models including deep lea...
Making Scraped Data Usable
Basics of scraping using BeautifulSoup
Self notes and few diagrams from an O’reilly Survey of Data Scientists and Their Work
Data analysis for each country per capita
Where are the limits of human technology? And can we somehow avoid them? This is where quantum computers become very interesting.
What shall we do once machines become conscious? Do we need to grant them rights?
Learning a memorization technique used by elite memory athletes leads to widespread changes in brain wiring
How can many stupid things combine to form smart things? How can proteins become living cells? How become lots of ants a colony? What is emergence?
Why Automation is Different this Time
Your brain talks to you through emotions, but most of the time, you don’t understand a thing! And when we see what they make you do, I say it’s time to learn...
How Unaware Things Became Aware
How to be sure that we aren’t living in a simulation?
Just a reminder on how powerfull the command line can be.
The Linux Command Line (CLI) seems to be unfriendly? Don’t worry, it’s actually not that complicated, and so powerfull…
A new promissing distro that is now an official ubuntu flavour!
A curated list of blogs / websites - will be updated on a regular basis
Welcome to my blog :)
A sub-field of ML focusing on decentralization, motivated by issues such as data privacy, data minimization, and data access rights.
Even improved version of K-anonymity with L-diversity & T-closeness can be attacked…
Finetuning of an hybrid model with lightfm & evaluation of its performances.
Exploratory analysis of articles, customers, and transactions datasets with recommendation engine specific caracteristics, such as a long tail.
An article made by BleepingComputer a long time ago i would like to share. This topic will be covered later in this blog
How to create a session, select and manipulate columns, retrieve basic infos & more
A round robin tournament of different architectures of neural nets to see which one is the best go player
Implementation of the CCF: Fast and Scalable Connected Component Computation in MapReduce paper with Spark. Study of its scalability on several datasets usin...
Implementation of the CCF: Fast and Scalable Connected Component Computation in MapReduce paper with Spark. Study of its scalability on several datasets usin...