Code Monkey home page Code Monkey logo

datasciencecoursera's Introduction

datasciencecoursera

Repository for the course The Data Scientist’s Toolbox

What do you find in here?

All the material that I have to submit into the COURSERA plattform for the reference course. It is my very first trying and I really hope everything goes easy.

The table of content

I will try to keep this place up to date and give myself a little of practices with markdown, looking forward to use it at the final project.

  • This README.md to be shown as default in my Gith directory
  • The HelloWorld.Rmd file for the first submission of the course, pretty good.
  • The simpleHelloWorld.md, not really interesting at all
  • The HelloWorld.pdf, an automatic nice looking output (if you have a LaTeX installation like I do.)
  • Another output HelloWorld.html from my RStudio installation

Notes

I already installed R and RStudio and I add the libraries knitr, markdown and rmarkdown. Also I already had MyKTeX installed

datasciencecoursera's People

Contributors

eduardodiez avatar eduardodiezbaez avatar

Watchers

James Cloos avatar  avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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.