"Machine Learning with Text in Python" is now available as self-paced online course. Learn more about the course and enroll TODAY: [ Ссылка ]

This info session was recorded on September 13, 2016. View the chat history and complete Q&A: [ Ссылка ]

In this course, you'll learn how to build effective machine learning models using text-based data to solve your own data science problems. Topics include:

- Feature extraction from unstructured text using scikit-learn
- Model building, evaluation, and inspection
- Using Natural Language Processing techniques to improve your models
- Feature engineering from messy data sources using regular expressions
- Creating an effective machine learning workflow
- Advanced machine learning techniques (pipelines, ensembles, model stacking, randomized search, etc.)

"One of the best, if not the best course I have taken." - Amit Dingare, Director of Data Science

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