Code Monkey home page Code Monkey logo

Hi there, I'm John Park - aka Parkman328 πŸ‘‹

Website Twitter Follow

A little about me

Korean American, Raised in the South, World Traveler and Foodie, Proud Dad of 2 Awesome Kids. Husband and Seeker of Discomfort and Constant Search of new.

This repo is combination of work,play and a hobby for me.

  • πŸ”­ I just started first forray into Open Source Development
  • 🌱 I’m currently learning Algorithmic Trading and Front End Development 🀣
  • πŸ‘― I’m looking to collaborate with other developer and get some side jobs
  • πŸ₯… 2021 Goals: Contribute more to Open Source projects
  • ⚑ Fun fact: Love Hiking and Programming
  • πŸ€” I’m looking for Partners to start a Open Source Projects on Machine Learning and Kaggle Competitions
  • πŸ’¬ Ask me about Qlik Integrations BI and ML Integrations
  • πŸ“« How to reach me: LinkedIn, Email

Connect with me:

johnpark.io Parkman328 | YouTube Parkman328 | Twitter Parkman328 | LinkedIn Parkman328 | LinkedIn

Languages and Tools:

Visual Studio Code HTML5 CSS3 Sass JavaScript React Gatsby GraphQL Node.js Deno SQL MySQL MongoDB Git GitHub Terminal




πŸ“Ί Latest YouTube Videos

➑️ more videos...


πŸ“• Latest Blog Posts

➑️ more blog posts...


Github Activities

Github Stats

John Park's Projects

airbyte icon airbyte

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

applied-ml icon applied-ml

πŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

auto-claim-prediction icon auto-claim-prediction

To Predicts the probability that a driver will initiate an auto insurance claim in the next year.

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

aws-bikenow-demo icon aws-bikenow-demo

AWS BikeNow Demo is a sample web application that demonstrates the breadth and depth of database, analytics, and AI/ML services on AWS.

axiom icon axiom

A dynamic infrastructure toolkit for red teamers and bug bounty hunters!

beakerx icon beakerx

Beaker Extensions for Jupyter Notebook

budgetml icon budgetml

Deploy a ML inference service on a budget in less than 10 lines of code.

butler icon butler

Node.js proxy, extending Qlik Sense with both out- and in-bound connectivity

conduit icon conduit

Data Integration for Production Data Stores.

d3 icon d3

A JavaScript visualization library for HTML and SVG.

daily_stock_report icon daily_stock_report

Automating the collection and analysis of historical stock data usingΒ python, and sending the user a report of their analysis by email.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.