Machine learning in Python with scikit-learn Machine Learning with Text in scikit-learn (PyCon 2016)
Machine Learning with Text in scikit-learn (PyCon 2016) Transcript and Lesson Notes
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 drasti
Quick Summary
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 drasti
Key Takeaways
- Review the core idea: 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 drasti
- Understand how python fits into Machine Learning with Text in scikit-learn (PyCon 2016).
- Understand how machine learning fits into Machine Learning with Text in scikit-learn (PyCon 2016).
- Understand how scikit-learn fits into Machine Learning with Text in scikit-learn (PyCon 2016).
- Understand how natural language processing fits into Machine Learning with Text in scikit-learn (PyCon 2016).
Key Concepts
Full Transcript
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-2016-tutorial Enroll in my online course: https://courses.dataschool.io/machine-learning-with-text-in-python == OTHER RESOURCES == My scikit-learn video series: https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A My pandas video series: https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y == LET'S CONNECT! == Newsletter: https://www.dataschool.io/subscribe/ Twitter: https://twitter.com/justmarkham Facebook: https://www.facebook.com/DataScienceSchool/ LinkedIn: https://www.linkedin.com/in/justmarkham/ YouTube: https://www.youtube.com/user/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool
Lesson FAQs
What is Machine Learning with Text in scikit-learn (PyCon 2016) about?
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 drasti
What key concepts are covered in this lesson?
The lesson covers python, machine learning, scikit-learn, natural language processing, nlp.
What should I learn before Machine Learning with Text in scikit-learn (PyCon 2016)?
Review the previous lessons in Machine learning in Python with scikit-learn, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: python, machine learning, scikit-learn, natural language processing.
Does this lesson include a transcript?
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