Newsletter Subject

A Weird Introduction to Deep Learning

From

datacamp.com

Email Address

team@datacamp.com

Sent On

Tue, Apr 3, 2018 01:19 PM

Email Preheader Text

R Interface to Python. What’s your Twitter Story? Object-Oriented Programming. Tidy Sentiment A

R Interface to Python. What’s your Twitter Story? Object-Oriented Programming. Tidy Sentiment Analysis in R. Games of Thrones Network Analysis.  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  [DataCamp](  ISSUE #41 — APRIL 3, 2018  [DataCamp Weekly]( Hi there – We hope you had a great Easter/Passover weekend for those who celebrate! As always, below is a list of the 10 most upvoted Community posts. Starting off with a new episode of DataFramed, and finishing with a network analysis of Game of Thrones characters. But first here’s an announcement: Join us this Thursday at 9:30 am ET for a live coding session titled “Survivors of the Titanic, the Tidy Way”. Learn the basic principles of analyzing data using R and the tidyverse by exploring, with Hugo, the Titanic dataset from Kaggle. You’ll learn how to make plots like the one above. No extensive knowledge or prerequisites needed. Make sure you’re all set up for the event by following these [instructions](. RSVP to let us know you’ll be joining by clicking the link below. See you there! [RSVP](  Community Top Posts  [1]( [Building Data Science Teams (with Drew Conway)](  PODCAST  | 12 Upvotes   | 0 Comments   | Posted by hugobowne  Drew Conway speaks with Hugo about how to build data science teams, along with the unique challenges of building data science products for industrial users.  [2]( [What's Your Twitter Story?](  NLP  | 9 Upvotes   | 0 Comments   | Posted by nazmunshi  An analysis of tweets from the author’s very first Twitter account inspired by the 'Case Study: Comparing Twitter Archives' chapter from 'Text Mining in R'.  [3]( [Tidy Sentiment Analysis in R](  TIDYVERSE  | 8 Upvotes   | 0 Comments   | Posted by debbieliskefa5156febfc047aeb79dee6c802d3d04  Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!  [4]( [Recommendation Systems - A Brief Introduction](  MACHINE LEARNING  | 7 Upvotes   | 0 Comments   | Posted by rizwankhan19  Recommendation systems are computer programs that filter and recommend products or content to users by analyzing their behavior of rating or preference they had given in the past.  [5]( [Object-Oriented Programming in Python: Tutorial](  PYTHON  | 6 Upvotes   | 0 Comments   | Posted by theov  Object-Oriented programming is a widely used concept to write powerful applications. As a data scientist, you will be required to write applications to process your data, among a range of other things. In this tutorial, you will discover the basics of object-oriented programming in Python.  [6]( [How Are Young Millennials Fighting The Job Crisis in India?](  BUSINESS  | 5 Upvotes   | 0 Comments   | Posted by bhartipopat39  MMBA graduates are having a hard time finding jobs. A potential solution to this is the field of data science.  [7]( [6 Tips for Hiring Data Scientists (Besides High Salaries)](  CAREER  | 5 Upvotes   | 0 Comments   | Posted by lindaburtch  Looking for advice on hiring data scientists that doesn't revolve around paying them more? This piece takes a look at the areas you should be considering when hiring.  [8]( [R Interface to Python](  DATA SCIENCE  | 5 Upvotes   | 0 Comments   | Posted by myamullasforce  The reticulate package provides a comprehensive set of tools for interoperability between Python and R. Including calling Python from R in a variety of ways. This post gives an overview of this package and how to start using it.  [9]( [A weird introduction to Deep Learning](  DEEP LEARNING  | 5 Upvotes   | 0 Comments   | Posted by faviovazquezp  There are amazing introductions, courses and blog posts on Deep Learning. But this is a different kind of introduction.  [10]( [Game of Thrones network analysis with tidygraph and ggraph](  GGPLOT2  | 4 Upvotes   | 0 Comments   | Posted by shiringlander  There are two packages that integrate network analysis nicely with the tidyverse: tidygraph and ggraph. This tutorial shows how to use them to analyze a network of characters from Game of Thrones.   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](  Loudness of Songs by Decade   That's all for now. Have a great week!   [DataCamp] [DataCamp](  DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118  [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube](  [Unsubscribe]( Â

Marketing emails from datacamp.com

View More
Sent On

08/11/2024

Sent On

29/10/2024

Sent On

03/10/2024

Sent On

01/10/2024

Sent On

30/09/2024

Sent On

24/09/2024

Email Content Statistics

Subscribe Now

Subject Line Length

Data shows that subject lines with 6 to 10 words generated 21 percent higher open rate.

Subscribe Now

Average in this category

Subscribe Now

Number of Words

The more words in the content, the more time the user will need to spend reading. Get straight to the point with catchy short phrases and interesting photos and graphics.

Subscribe Now

Average in this category

Subscribe Now

Number of Images

More images or large images might cause the email to load slower. Aim for a balance of words and images.

Subscribe Now

Average in this category

Subscribe Now

Time to Read

Longer reading time requires more attention and patience from users. Aim for short phrases and catchy keywords.

Subscribe Now

Average in this category

Subscribe Now

Predicted open rate

Subscribe Now

Spam Score

Spam score is determined by a large number of checks performed on the content of the email. For the best delivery results, it is advised to lower your spam score as much as possible.

Subscribe Now

Flesch reading score

Flesch reading score measures how complex a text is. The lower the score, the more difficult the text is to read. The Flesch readability score uses the average length of your sentences (measured by the number of words) and the average number of syllables per word in an equation to calculate the reading ease. Text with a very high Flesch reading ease score (about 100) is straightforward and easy to read, with short sentences and no words of more than two syllables. Usually, a reading ease score of 60-70 is considered acceptable/normal for web copy.

Subscribe Now

Technologies

What powers this email? Every email we receive is parsed to determine the sending ESP and any additional email technologies used.

Subscribe Now

Email Size (not include images)

Font Used

No. Font Name
Subscribe Now

Copyright © 2019–2025 SimilarMail.