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Scott Edwards liked Emmanuelle Rieuf's blog post Book: Python Data Science Handbook
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Profile Information

Job Title:
Junior Editor
Seniority:
Student
Short Bio:
I am a french student at Concordia University in Montreal, majoring in International Business.
I am currently working as a junior editor at Data Science Central.
LinkedIn Profile:
http://www.linkedin.com/in/emmanuelle-rieuf-569210120?trk=nav_respo...
Interests:
Networking

Emmanuelle Rieuf's Blog

19 MOOCs on Mathematics & Statistics for Data Science & Machine Learning

Posted on May 13, 2019 at 7:30am 0 Comments

This article was written by Swati Kashyap. Swati is a data science & analytics enthusiast. Currently,she is learning data science at Analytics Vidhya.

Mathematics & Statistics are the founding steps for data science and machine learning. Most of the successful data scientists I know of, come from one of these areas – computer science, applied mathematics & statistics or economics. If you wish to…

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Tidy Data in Python: Introduction

Posted on January 18, 2019 at 8:30am 0 Comments

This article was written by Jean-Nicholas Hould. For the last six years, Jean-Nicholas has been working professionally in the field of data science. During those years, he has been doing lots of data engineering, analysis and statistics. 

I recently came across a paper named Tidy Data by Hadley…

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Grouping Points: Drawing polygons around groups of points in ggplot

Posted on November 28, 2018 at 12:00pm 0 Comments

This article was written by Luis Verde Arregoitia on his personal research page. 

For various kinds of analyses, we often end up plotting point data in two dimensions for two or groups. This includes Principal Component Analyses, bioclimatic profiles, or any other combination of values on two axes.…

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Building Shiny Apps: Tutorial

Posted on October 10, 2018 at 9:30am 0 Comments

This article was posted by Dean Attali. Dean is currently an R-Shiny consultant.

Shiny is a package from RStudio that can be used to build interactive web pages with R. While that may sound scary because of the words “web pages”, it’s geared to R users who have 0 experience with web development, and you do not need to know any HTML/CSS/JavaScript.

You can do quite a lot…

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