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SkillsCast

Building a Trump/Obama Tweet Classifier with 98% accuracy in 1 hour!

19th June 2018 in London at CodeNode

This SkillsCast was filmed at Building a Trump/Obama Tweet Classifier with 98% accuracy in 1 hour!

When it comes to Machine Learning it can be hard to find small scale real world applications that deliver good results.

To find such an application I challenged myself to build a Naive Bayesian tweet classifier. Classifying the author of any given tweet as President Obama or President Trump respectively, resulting in 98% accuracy!

This talk will go through scraping the data, building the classifier (without 'recoding the wheel') and showing how the model was verified.

Along with some live coding of the whole thing in JavaScript!

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Thanks to our sponsors

Building a Trump/Obama Tweet Classifier with 98% accuracy in 1 hour!

Benjamin Ellerby

I'm a developer, working with startups to launch MVP's and large corporates to deliver in startup speed.

SkillsCast

When it comes to Machine Learning it can be hard to find small scale real world applications that deliver good results.

To find such an application I challenged myself to build a Naive Bayesian tweet classifier. Classifying the author of any given tweet as President Obama or President Trump respectively, resulting in 98% accuracy!

This talk will go through scraping the data, building the classifier (without 'recoding the wheel') and showing how the model was verified.

Along with some live coding of the whole thing in JavaScript!

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Building a Trump/Obama Tweet Classifier with 98% accuracy in 1 hour!

Benjamin Ellerby

I'm a developer, working with startups to launch MVP's and large corporates to deliver in startup speed.