Matt's Showcase
Projects demonstrating my data analytics, machine learning, computer vision, and deep learning skills.
Matt's Showcase
Setting Benchmarks in
Galactic Redshift Estimation
Novel deep-learning segmentation techniques that establish new benchmarks in photometric redshift estimation.
Computer Vision
Pavlidis Contouring
Computer Vision
Here we binarize an image using Otsu's method and inverse thresholding. We then implement Pavlidis contouring to extract the object contour. The least relevent vertices are removed using discrete curve evolution.
Corner Detection
Shi-Tomasi, Harris
Here we demonstrate Shi-Tomasi corner detection and Harris corner detection on single images, and contrast the resulting algorithm identified corners.
QR Code
Template Matching
We use computer vision template matching to find the key points of a variety of qr codes. Clever use of machine learning clustering techniques is employed to convert regions of template matches into centroid points.
Panoramic Stitching
Computer Vision
Images from the same location are stiched together using keypoint detection, homographic transformations, and linear blending. We perform increasingly challenging panaramic stitching.
Toy Projects
Message Encryption
Application Development
We develop an application to encrypt and decrypt strings using C++ and the qt framework. Our design employs design patterns as best practice.
Project Euler
Math and Algorithms
Solutions to Project Euler problems. Project Euler is a series of world class math and computer science challenges.
Census Data
Machine Learning
Decision tree and random forest on census data to classify reciept of dividents.
Baseball Salaries
Machine Learning
A project to predict professional baseball salaries given their batting and run statistics. K nearest neighbors regression is employed.
COVID-19
Data Analytics
Data analytics on COVID hospital data.
Heart Disease
Data Analytics
Data quality reporting for heart disease data.
Mushroom Edibility
Machine Learning
Here we build a decision tree to classify the edibility of mushrooms using a decision tree.