Machine Learning with Text in scikit-learn (PyCon 2016)

Описание к видео Machine Learning with Text in scikit-learn (PyCon 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 PyCon on May 28, 2016.)

GitHub repository: https://github.com/justmarkham/pycon-...

Enroll in my online course: https://courses.dataschool.io/machine...

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

== LET'S CONNECT! ==
Newsletter: https://www.dataschool.io/subscribe/
Twitter:   / justmarkham  
Facebook:   / datascienceschool  
LinkedIn:   / justmarkham  
YouTube: https://www.youtube.com/user/datascho...

JOIN the "Data School Insiders" community and receive exclusive rewards:
  / dataschool  

Комментарии

Информация по комментариям в разработке