In this post, we go through the basics of training a logistic regression on the Kaggle What's Cooking data. We also do some in-depth analysis on recipes and their ingredients.

Dans ce billet, nous calculons l'âge du député français moyen à partir des données disponibles sur le site de l'assemblée nationale. Nous utilisons ensuite des données de l'INSEE pour évaluer la représentation des différentes classes d'âge françaises par les députés.

Dans ce post, nous nous intéressons à l'algorithme du radoteur, inventé par Roland Moreno et proposons une implémentation de cet algorithme en Python.

In this post, I explain how I got Travis-CI to work with this blog.

Ever wondered what happens when you window a signal before computing a FFT? Hamming, boxcar, Blackman anyone? In this post, we're looking at all these windows from a fresh point of view and detail some of their applications to signal analysis.

In this notebook, we'll go to the bottom of a thought that occured to me during a recent Lindy Hop class.

This post is dedicated to installing the sms-tools software suite using a virtual environment made with Anaconda under Mac OS X.

In this post, in explain how to build a PyQt application that to record input from your microphone and plots it in real time, including the associated spectrum, using PyAudio, matplotlib and numpy.

In this post, we examine a pure numpy implementation of the k-means algorithm and animate its convergence on an example dataset.

In this notebook, we take a look at the farthest neighbors algorithm, in the fashion of Peter Norvig.