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Matthias Chin liked Emmanuelle Rieuf's blog post 80+ Free Data Science Books
Jan 14
Tauheedul Ali liked Emmanuelle Rieuf's blog post How to choose a great Data Science book
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Tauheedul Ali liked Emmanuelle Rieuf's blog post How to choose a great Data Science book
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Vishal Kapur commented on Emmanuelle Rieuf's blog post 7 Visualizations You Should Learn in R
"I liked it.. Can you please share more such articles and links on missing data and imputation techniques..."
Dec 27, 2018
Vishal Kapur liked Emmanuelle Rieuf's blog post 7 Visualizations You Should Learn in R
Dec 27, 2018
Tauheedul Ali liked Emmanuelle Rieuf's blog post A curated list of resources dedicated to bayesian deep learning
Dec 21, 2018
Stuart Loynes liked Emmanuelle Rieuf's blog post How can I become a data scientist?
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Ali Awadh liked Emmanuelle Rieuf's blog post An Introduction to Implementing Neural Networks using TensorFlow
Dec 10, 2018
Emmanuelle Rieuf posted a blog post

Grouping Points: Drawing polygons around groups of points in ggplot

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. In some of my recent…See More
Dec 2, 2018
Ali Awadh liked Emmanuelle Rieuf's blog post New Machine Learning Cheat Sheet by Emily Barry
Dec 1, 2018
Ali Awadh liked Emmanuelle Rieuf's blog post One-page R: a survival guide to data science with R
Nov 24, 2018
Azhar Bashir Khan liked Emmanuelle Rieuf's blog post Book: Python Data Science Handbook
Nov 4, 2018
Alper Paksoy commented on Emmanuelle Rieuf's blog post 14 things that are harder to get into than Stanford
"The hardest thing I heard to get into was FBI. According to this interview with the real-life character of the movie "Catch Me If You Can", Frank Abegnale, it is about 1 in 10,000. "
Nov 3, 2018
Serik Serikbay liked Emmanuelle Rieuf's blog post Beginners Guide to Regression Analysis and Plot Interpretations
Oct 30, 2018
Antonio Marcos Moraes Ribeiro liked Emmanuelle Rieuf's blog post Essentials of Machine Learning Algorithms (with Python and R Codes)
Oct 29, 2018
MIGUEL LEVY liked Emmanuelle Rieuf's blog post Book: Python Data Science Handbook
Oct 20, 2018

Profile Information

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.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/emmanuelle-rieuf-569210120?trk=nav_respo...
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Student
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Junior Editor
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Emmanuelle Rieuf's Blog

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,…

Continue

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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Deep Learning Research Review: Natural Language Processing

Posted on October 9, 2018 at 3:30pm 0 Comments

This article was written by Adit Deshpande on his own blog.

This is the 3rd installment of a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summarizing and explaining research papers in specific subfields of deep learning. This week focuses on applying deep learning to Natural Language Processing. The …

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Decision Tree Classifier Implementation In R

Posted on October 6, 2018 at 11:30am 0 Comments

This article was written by 

The decision tree classifier is a supervised learning algorithm which can use for both the classification and regression tasks. As we have…

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