The final project for Data Mining and Machine Learning 1. I worked in a group to test a series of classifiers to identify which were the best at predicting a country's happiness.

I learned how to utilize BERT to analyze the sentiment of movie reviews to identify if they were positive or negative. 

A series of programming challenges put out by Google that I completed to polish up my programming skills and learn more about algorithms.

A transformer model chatbot which learned from movie scripts. I built this to learn more about transformers.

A generative adversarial neural network which I implemented from scratch to learn how these models worked. The art it produced won a Gold Key at the Scholastic Art and Writing award for my region.

A project I built to gain access to the Data Initiative class as a demonstration of my skills as a data scientist. I built several models to figure out which one was best at predicting who would cancel a ride.

A personal challenge to implement a linear perceptron which we learned about in Mathematics of Data Models.

A fun project to use the IMDB database to see how many movies away an actor was from being in a movie with Kevin Bacon

A project to automatically generate word searches. Involved figuring out an efficient algorithm to place words on a board.

A small project to learn about the K-Nearest Neighbors algorithm and implement it by myself. I used it to classify text such as classifying song lyrics by genre.

A small project to learn about the trie data structure and how it can be used to figure out autofill information.