Stephen Belcher

In this project, I trained a decision tree model, as well as three variants of a decision tree (random forest, gradient boosting, and bagging) to predict the class of data/images from two datasets

In this project, I used Scikit-learn to experiment with K-means clustering and Gaussian mixture models

In this project, I was given a set of grammar rules for a fictional language (danc) and tasked with writing a syntax parser.

In this project, I designed multi-layer perceptrons and convolutional neural networks to predict the class of images in the MNIST and CIFAR-10 Datasets

In this project, I was given four datasets containing emails, and I was tasked with implementing Naive Bayes and logistic regression models to detect whether an email is spam or not spam.

This was a semester-long project in which we were given a description of a database that a client needed. We then went through the process of creating a conceptual EER model, then refined it into a relational model, then converted the relations into 3NF, and then actually created the sql statements with triggers. We also created queries and views.

This was a project for my bioinformatics class. The goal was to create a Multiple Sequence Alignment from raw data.

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