Machine Learning with Text in scikit-learn (PyData DC 2016)

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. (Presented at PyData DC on October 7, 2016.)

GitHub repository: https://github.com/justmarkham/pydata...
Enroll in my online course: http://www.dataschool.io/learn/
Subscribe to the Data School newsletter: http://www.dataschool.io/subscribe/

== OTHER RESOURCES ==
My scikit-learn video series:    • Machine learning in Python with sciki...  
My pandas video series:    • Data analysis in Python with pandas  

== JOIN THE DATA SCHOOL COMMUNITY ==
Blog: https://www.dataschool.io
Twitter:   / justmarkham  
Facebook:   / datascienceschool  
YouTube: https://www.youtube.com/user/datascho...

Join "Data School Insiders" to receive exclusive rewards!   / dataschool