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  • šŸ‘‹ Hi, Iā€™m @HungOm
  • šŸ‘€ Iā€™m interested in Cloud computing, Blockchain & AI
  • šŸŒ± Iā€™m currently learning Typescript, Golang & Elixir
  • šŸ“« How to reach me ...

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Hung Om 's Projects

applied-data-science-with-python-specialization icon applied-data-science-with-python-specialization

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.

awesome-aws icon awesome-aws

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

awesome-cheatsheets icon awesome-cheatsheets

šŸ‘©ā€šŸ’»šŸ‘Øā€šŸ’» Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

builderbook icon builderbook

Open source web app. Built with React, Material-UI, Next, Express, Mongoose, MongoDB.

craglist icon craglist

Sinatra 101 - craglist malaysia project

css-grid icon css-grid

Starter Files + Solutions to my CSSGrid.io Course

data-analysis-with-pandas icon data-analysis-with-pandas

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

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