Michael Diamantopoulos's Projects
Code for the online course "Deployment of Machine Learning Models"
A web app in Flask, Dash & Streamlit that uses CNNs in Keras & Pytorch, to predict if a carcinoma is malignant or benign.
A plagiarism detector that examines a text file and performs binary classification using Gradient Boosting Classifier & SageMaker; labeling that file as either plagiarized or not, depending on how similar that text file is to a provided source text.
A simple web app which interacts with a deployed recurrent neural network performing sentiment analysis on movie reviews using SageMaker & XGBoost.