anthony's Projects
working on the js files based on the book 99 bottles of OOP
Personal Project - creating a AI Sudoku Solver which involve end-to-end process from data collection all the way to deployment
Some Android learning materials, hoping to help you learn Android development.
just a bit about myself
A competition where you build bots to maximise score by recognising ally bots, outbid opponents while trying to identify their strategies
creating a web version of battleship game
web basic calculator
I will be using basic GAN model to create cat face images.
University project where I performed data manipulation, data visualisation, analysis, hypothesis testing and utilising machine learning techniques.
Group Assignment 2 of COMP9120 Database Management where I was fully responsible for creating the schema on PostgreSQL 9.5 based on the provided ER diagram.
My solutions for cs231 2017 spring
basic practice on API usage - based on the API project from Colt Steele's Udemy course
demo repo for practising git commands
Easy to maintain open source documentation websites.
creating a mini-game when you can draw on the screen
🚀✨ Help beginners to contribute to open source projects
Recreating the Google homepage with a sprinkle of my own flair.
a mini-project to learn about using node on server side javascript
A personal goal to make a good image recognition model of cats! Also, as a practical exercise of using my preliminary knowledge in machine learning
Kaggle Competition focusing on Reinforcement Learning. Kaggle has taken this classic in the video game industry and put a multi-player, simulation spin to the classic game Snake. The goal is to create an AI agent to play against others and survive the longest.
predicting a continuous target based on a number of feature columns given in the data. All of the feature columns, cat0 - cat9 are categorical, and the feature columns cont0 - cont13 are continuous.The dataset is used for this competition is synthetic, but based on a real dataset and generated using a CTGAN. The original dataset deals with predicting the amount of an insurance claim. Although the features are anonymized, they have properties relating to real-world features.
predicting a continuous target (regression) based on number of anonymous features columns given in the data.
Kinde PKCE authentication for SPAs
learning the ins and outs of docker
documenting my notes while learning about node and express