Python Machine Learning Blueprints by Alexander Combs
Author:Alexander Combs
Language: eng
Format: epub, pdf
Tags: COM042000 - COMPUTERS / Natural Language Processing, COM044000 - COMPUTERS / Neural Networks, COM004000 - COMPUTERS / Intelligence (AI) and Semantics
Publisher: Packt Publishing
Published: 2019-01-31T19:18:21+00:00
What this script will do is run every 4 hours, pull down the news stories from Google Sheets, run the stories through the model, generate an email by sending a POST request to IFTTT for those stories that are predicted to be of interest, and then, finally, it will clear out the stories in the spreadsheet so only new stories get sent in the next email.
Congratulations! You now have your own personalized news feed!
Summary
In this chapter, we've learned how to work with text data when training machine learning models. We've also learned the basics of NLP and of SVMs.
In the next chapter, we'll develop these skills further and attempt to predict what sort of content will go viral.
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| Coding Theory | Localization |
| Logic | Object-Oriented Design |
| Performance Optimization | Quality Control |
| Reengineering | Robohelp |
| Software Development | Software Reuse |
| Structured Design | Testing |
| Tools | UML |
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