Hung Om 's Projects
Recode project
Starter files, final projects and FAQ for my Advanced CSS course
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
š©āš»šØāš» Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
General Reward Function toolkit for AWS DeepRacer
Your favorite AnchorCMS theme, now for Jekyll!
Beginner level python program
This is my front-end web page exercise
š¤ Build your own (insert technology here)
Open source web app. Built with React, Material-UI, Next, Express, Mongoose, MongoDB.
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
Static Bootstrap Web page made in CTC class
Javascript Colorgame project
Course Files for Complete Python 3 Bootcamp Course on Udemy
This is my first portfolio page in HTML and CSS.
Sinatra 101 - craglist malaysia project
Starter Files + Solutions to my CSSGrid.io Course
My second project in python 3 using IPython. IPython is just like the normal shell you get when you run python, but it provides better printing of large output. This make IPython suitable for data anlysis as it prints data in a well structured format. IPython can be installed with pip: pip install ipython or pip3 install ipython or python3 -m pip install ipython
Introduction to Data Science with Python week 4 assignment solution.
Full Stack Web Development with Flask.