My name is Crew Gamble, I am a collegiate esports player and senior Computer Science student studying at Mizzou.
I have expertise in both front-end and back-end development and I am enthusiastic about broadening my knowledge in software engineering. My technical skills include programming languages such as C, Java, Python, JavaScript, and Typescript, alongside proficiency in HTML and CSS.
Daily Doodle is a for fun web app that allows users to draw a daily prompt on a virtual canvas and quickly export their masterpiece. Created with TypeScript and NextJS for practice and proficiency.
This project contains the implementation of a simple neural network model designed to classify mushrooms into either edible or poisonous categories based on their characteristics. Consistently classifies mushrooms with 100% accuracy! The model is built using PyTorch, a popular deep learning library.
This repository uses a neural network to predict the quality of wine based on various physicochemical features. The model is built using PyTorch and trained on the "Wine Quality" dataset available from the UCI Machine Learning Repository. The goal for this project was to demonstrate how to preprocess data, implement a regression model in PyTorch, and evaluate its performance.
Cute Crypto is a responsive react website that demonstrates a crypto/NFT project. Created an ethereum wallet connection method via EthersJS. This project was made to improve front-end design and understand responsive design.