Here are the projects I've completed over the course of Udacity's Machine Learning nano-degree program.
- Finding donors - Used supervised learning methods to determine who is a likely donor from a dataset.
- Classifying flowers - A command line application that uses a pretrained torchvision model architecture of your choice to train the model on a given dataset, save a checkpoint for that trained model, and then use that model later to predict the class of a given image.