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