Pinned Repositories
AddressBook-2.0-Project
addressbook-level2
:ab::two: A Java sample application for students. An AddressBook application that uses OOP basics.
AVC
COMP307_A1_MachineLearningAlgorithms_Flowers
COMP307_A1_MachineLearningAlgorithms_Hepatitis
COMP307_A3_SpamDetection
main
:ab::four: Address Book sample application (Level 4)
PierToPeer
roy_website
webflow-dev-workflow
HaydenPhillips's Repositories
HaydenPhillips/AddressBook-2.0-Project
HaydenPhillips/addressbook-level2
:ab::two: A Java sample application for students. An AddressBook application that uses OOP basics.
HaydenPhillips/AVC
HaydenPhillips/COMP307_A1_MachineLearningAlgorithms_Flowers
HaydenPhillips/COMP307_A1_MachineLearningAlgorithms_Hepatitis
HaydenPhillips/COMP307_A3_SpamDetection
HaydenPhillips/main
:ab::four: Address Book sample application (Level 4)
HaydenPhillips/PierToPeer
HaydenPhillips/roy_website
HaydenPhillips/webflow-dev-workflow
HaydenPhillips/Scikit_MachineLearning_COMP309_A4
The main goal of this assignment is to use a popular machine learning tool, i.e. scikit-learn, to investigate two important factors for the success of machine learning applications, which are performance metrics and metric optimisation through a series of light coding practices. Two supervised learning scenarios will be used, namely classification and regression, and simple coding will also be involved to prepare for more coding work in the final project.
HaydenPhillips/SWEN221
All assignments, labs and mid-term tests I have done in SWEN221 2016
HaydenPhillips/SWEN301_A1_CRUD_Operations