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Cullen Baker's Projects

bert-emotion-classifier icon bert-emotion-classifier

This code uses a pretrained BERT model to learn how to classify text by emotions. In this specific case it will be tweets, but it can be used with any series of texts.

books icon books

Owsome books to understand different concepts

deep-building-classier icon deep-building-classier

This notebook uses transfer learning from Xception (but others will also work) to classify a set of 18 buildings. The dataset can be accessed similarly to the code

news-bias-detector icon news-bias-detector

Uses NLP, Latent Dirichlet Allocation and VADER to encounter new bias on a variety of topics across news sources such as CNN, Fox, NYT, Guardian, PowerLine, NPR and Real Clear Politics.

titanic-logistic icon titanic-logistic

Uses Logistic Regression and Bayesian Model Averaging to solve the classic Kaggle Titanic problem

traffic-predictor icon traffic-predictor

This program uses an LTSM to predict future traffic rates using data from https://smarterroads.org/dataset/detail/1

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