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lemidia/README.md

Hi there, I'm Gyeong - aka Code Factory 👋

Website

Languages, libraries, Frameworks and Tools i've used so far:

Web - Front End

JavaScript

HTML5

CSS3

React

Bootstrap 5

Tailwindcss

Redux

Material UI


Web - Back End

Node.js

Express.js

MongoDB

MySQL

MySQL



Web - Full Stack

Next.js



Web - Query Language

GraphQL



Mobile

Next.js



Data Science

Python

R

R

R



Competitive programming

java

c++



Toos, Git and VCS etc

Visual Studio Code

Git

GitHub

Terminal



Study Source Materials

Web Development - Basic and Crash Course, Front-End, Back-End(MERN Stack)

Web Development - Basic CSS, CSS libraries and Frameworks

Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Many researchers also think it is the best way to make progress towards human-level AI.

  • Machine Learning — Andrew Ng: In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

  • Hands on Machine Learning: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Deep Learning

  • Deep Learning textbook: The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular

  • MIT Introduction to Deep Learning: MIT Introduction to Deep Learning 6.S191 New 2020 Edition, Lectured by Alexander Amini.

  • Deep Learning from Scratch: You’ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up.

Linear Algebra

  • Essence of linear algebra: A geometric understanding of matrices, determinants, eigen-stuffs and more.

  • Linear Algebra PDF: You can learn many things from this text book about Linear algebra. (Under attribution-NonCommercial-ShareAlike 3.0)

Algorithm for Competitive Programming or Coding test

  • Competitive Programmer’s Handbook: Competitive Programmer's Handbook is a free online book whose purpose is to give the reader a thorough introduction to competitive programming.

  • Graph Theory Algorithms by William Fiset: How to store and represent graphs on a computer, Common graph theory problems seen in the wild, tree algorithms, famous graph traversal algorithms (DFS & BFS), Dijkstra's shortest path algorithm, what a topological sort is, and many more!

    What you’ll learn:

    • Storage and representation of graphs (networks) on a computer
    • Common graph theory problems
    • A variety of tree algorithms
    • Breadth first search algorithm
    • Depth first search algorithm
    • Dijkstra's algorithm
    • Topological sort algorithm
    • Shortest/longest path on a acyclic graph
    • Floyd-Warshall all pairs shortest path algorithm
    • Finding bridges/articulation points
    • and etc...

How to use command-line, a powerful text editor and git version control

  • Basic computer tool usage: You'll learn how to master the command-line, use a powerful text editor, use fancy features of version control systems, and much more!

Portfolio

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  1. e-commerce-mern-stack e-commerce-mern-stack Public

    E-commerce-mern-stack using mongodb, express.js, react.js and node.js. Front-End design using Bootstrap 5 and Custom CSS. State management using Redux.

    JavaScript

  2. fylo-landing-page-dark-theme fylo-landing-page-dark-theme Public

    7일 동안 하루에 하나씩 웹 사이트 랜딩 페이지를 만들어 봅시다.

    HTML

  3. React-Airbnb-web-page React-Airbnb-web-page Public

    Airbnb Home Page Clone using React.js and Material UI

    JavaScript

  4. lemidia.github.io lemidia.github.io Public

    This repository is being used to represent/show blog site.

    HTML 1 2

  5. handson-ml handson-ml Public

    Forked from ageron/handson-ml

    A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

    Jupyter Notebook

  6. Algorithm-and-Data-Structure Algorithm-and-Data-Structure Public

    알고리즘과 자료구조를 정리해두었습니다.

    Java 4