In this tutorial we will use modern Natural Language Processing techniques to find similar posts in a Facebook group. You have probably been in a situation where you want to post something in a Facebook group but you are not sure whether almost the same post already exists and is maybe just hiding on the next page. This technique will prevent you from bothering the group users with repeating questions :-)
In this tutorial, we will introduce you to the basics of how to work with time series in Python. For this we will use the packages Pandas, statsmodels (for some hypothesis testing) and matplotlib (for visualizations). Get comfortable, let's dig in!
Let's dive into the basics of unsupervised Machine Learning algorithms! In this weeks BaseCamp tutorial, we will show you the (probably) most common clustering algorithm: KMeans.
This is the third installment of a short series on how to build our own API. In the last two weeks, we have shown you how to create your own Flask application and how to build a sentiment classifier from tweets using the Twitter API and nltk. Today we will combine these two things to make them work together. Get comfortable, let's dig in!