Zhi Hern Tom's repositories
MAST30034-Project-1
This project aims to make a quantitative analysis of the New York City Taxi and Limousine Service Trip Record Data. The dataset covers trips taken in various types of taxi and for-hire vehicle services in the New York City area.
MAST30034-Project-2
This project aims to develop algorithms to optimise the dispatch behaviour of a battery based in Victoria. Maximise revenues by charging when electricity prices are low and discharge when prices are high.
abhisheknaiidu
đź‘€
AETA-403Forbidden
This is the repository for team 403 Forbidden
COMP30022-Project
This project aims to create a user-friendly CRM webapp that helps grape sellers to organise customer relationship and sale orders.
COMP30027-Project-2
The goal of this project is to build and critically analyse supervised Machine Learning methods to predict the cooking time for recipes based on their steps, ingredients and other features.
COMP90051-Project-1
Authorship attribution is a task to identify the author of a given document. Our task is to come up with test predictions for an authorship attribution problem given a training set and test inputs.
INFO30005-Project
This project aims to designed and build web apps for a food truck business called Snack Squid. Customers can easily find where the nearest vans are and place an order through the customer side web app. Vendors can use the vendor side web app to easily set up their business and manage the orders online.
GEOM90007-Assignment-2
This assignment aims to deploy a R dashboard app analysing fatal shooting records in the United States since 1st January 2015.
MAST30034-Assignment-1
Spatiotemporal datasets consists of both space and time dimensions and represent many real world applications such as medical imaging data, video data, weather patterns and so on. The aim of this assignment is to familiarize ourselves with dataset generation by time samples and pixel values, its preprocessing by statistical measures, its analysis by parameter estimation, its results visualization by graphs, and its evaluation by performance metrics.
MSA-AUS-2020-AzureML
MSA-Australia-AzureML-Demo