Saturday July 22nd 2017




Excellent presentation on how to perform predictive analytics on text data. It was presented in Pycon 2016. In this video an example on how to identify spam using Naive Base and regression analysis are used. Very clear presentation by Kevin Markham, Enjoy…Although numeric data is easy to work with in Python, most knowledge created by humans is actually raw, unstructured text. By learning how to transform text into data that is usable by machine learning models, you drastically increase the amount of data that your models can learn from. In this tutorial, we’ll build and evaluate predictive models from real-world text using scikit-learn.