Intro to Machine Learning & NLP with Python and Weka Codementor

In this tutorial, you'll be briefly introduced to machine learning with Python (2.x) and Weka, a data processing and machine learning tool. The activity is to build a simple spam filter for emails and learn machine learning concepts. This article is written by the Codementor team and is based on a Codementor Office Hour by Codementor Benjamin Cohen, a Data Scientist with a focus in Natural Language Processing. In a nutshell, machine learning is basically learning from data. Way back when before access to data was plentiful and access to computing power was plentiful, people tried to hand-write rules to solve a lot of problems. E.g., if you see {{some word}}, it's probably spam. That worked all right, but as problems get more and more complicated, the combinations of rules start to grow out of hand, both in terms of writing them and in terms of taking them up and processing them. The number of techniques to do this all fall under the umbrella of machine learning.