Wiki
  • Glossary
  • License
  • Myles' Wiki
  • Meta
  • Status
  • Android
    • Fire OS
  • Computer Science
    • Artificial Intelligence
    • Machine Learning
  • Cooking
    • Recipies
      • Desserts
        • Peanut Butter Swirl Brownies
  • Dat Protocol
  • Databases
    • MySQL
    • Postgres
  • DevOps
    • Ansible
    • Docker
  • Graphic Design
    • Adobe Illustrator
    • Design Systems
    • Pen Plotters
    • SVG
    • Zine
  • iOS
  • Linux
  • Lists
    • Books to Read :open_book:
    • Film to Watch :film_projector:
    • TV Shows to Binge :television:
    • Video Games to Play :joystick:
  • Pentesting
    • Metasploit
    • nmap Cheat Sheet
  • Productivity
  • Programming
    • CSS
    • GitHub
    • Go
    • GraphQL
    • Methodology
    • R
    • Ruby
    • Data Science
      • Organizing Data Science Projects
    • JavaScript
      • Node.js
      • Vue.js
        • Nuxt.js
    • PHP
      • Laravel
      • WordPress
    • Python
      • Anaconda
      • Celery
      • django
      • Jupyter
      • pandas
      • Useful Regular Expression
      • Wagtail
      • Web Scraping in Python
    • Static Website Generators
      • Hugo
      • Jekyll
      • VuePress
  • Raspberry Pi
  • Selfhosted
  • Setup
    • Android
    • Bag
    • iOS Applications
    • macOS Setup
    • Microsoft Windows Setup
  • Startup
  • Text Editors
    • Visual Studio Code
  • UNIX
  • User Experience (UX)
  • Windows
Powered by GitBook
On this page
  1. Programming

Data Science

PreviousRubyNextOrganizing Data Science Projects

Last updated 2 years ago

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

Links

  • by Andy Chu, 30 November 2018.

  • by Eric Ma, 12 July 2018.

  • by Florencia Mangini, 9 December 2018.

  • by Edward Ma, 22 September 2018.

What is a Data Frame?
How to organize your Python data science project
Best Practices for Organizing Data Science Projects
Manage your Data Science project structure in early stage