lemidia Goto Github PK

• HTML - Crash Course For Absolute Beginners
• CSS - Crash Course For Absolute Beginners
• JavaScript - Javascript Fundamentals
• React.js - React Tutorial - Fundamentals, Hooks, Context API, React Router, Custom Hooks
• Redux - React Redux Tutorial
• Redux Toolkit - Simpler and cleaner way to write Redux code
• Node.js & Express.js - Node and Express Tutorial
• MongoDB and Mongoose

• Basic of CSS
• Bootstrap 5
• Tailwind CSS

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 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.

• 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)

• 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...

• 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!

• FULL STACK E-Commerce Website Using MERN STACK - React.js, Node.js, Express.js and Mongo DB Atlas - Heroku server를 이용하고 있습니다. 처음 로딩 시에는 조금 기다려 주세요. This site using heroku server for web hosting, please wait for a second for loading when you visit first.

• Netflix Landing Page - React.js, Firebase, tmdb API

• Airbnb Landing Page - React.js, Firebase, React Date Picker

• Saehan System Conveor Company Home page

• Fylo Web Landing Page - Only HTML, Vanilla CSS

• 이 외에도 Repository를 둘러보시면 많은 프로젝트들을 보실 수 있습니다.