This repository contains my capstone project for Udacity Machine Learning Nanodegree.
In this project I addressed the problem of classification of high-energy particle collisions into either Signal or Background events in the context of detection of Higgs Boson.
For more details, see the proposal and final report
In my project I choose to use Amazon SageMaker for all aspects related to data exploration/visualization, training and deployment.
The Deep Neural Network is implemented using PyTorch.
As part of the project I also implemented a REST API to make predictions. The API is using Amazon API Gateway and AWS Lambda. For inference, the Lambda function calls the PyTorch model which was deployed as a SageMaker Endpoint.