Beer-in-Hand Data Science & Harry Plotter 2

Detecting Fake News. Cryptocurrency predictions. Audio Data Analysis. Beer-in-Hand Data Science. And more! [DataCamp]( DataCamp Weekly Issue #12 ― August 29, 2017 Hi there - we’re heading into fall and that means students are going back to school, teachers are finalizing content for the semester, and employees are back from vacation. What better time to take a deep dive on a data science project, or a DataCamp course? We’ve got some more high-quality data science content in this edition, take your pick! Like what you’re seeing? Forward to a friend! Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. --------------------------------------------------------------- Projects & Resources [Detecting Fake News with Scikit-Learn]( Ever wondered how difficult detecting so-called “fake news” is? This tutorial will teach you how to leverage machine learning to tackle this problem. This insightful walkthrough introduces the scope of the challenge all the while teaching you how to use NLP classification models. [datacamp.com]( [What's So Exciting About Data Science?]( We asked 11 data science professionals and thought-leaders what makes data science so special and promising. With different backgrounds and viewpoints, their responses are insightful and motivating for both beginners and experienced learners. [datacamp.com]( [How Machines Learn: A Practical Guide]( How do machines learn? This is a key understanding to have in order to become a machine learning hero. This post lists 7 steps and 50+ resources to get you started with a ground-up approach. [medium.freecodecamp.org]( In The News [Data Viz Project: A Collection of data visualizations to get inspired]( Stuck using the same plots? This gallery will help you find some inspiration to create more visually engaging and informative plots. Bookmark this! [datavizproject.com]( [Analyzing Cryptocurrency markets using Python]( With cryptocurrencies bursting onto the scene this year, a lot of investors are looking into how to predict spikes and dips in value? This great post lays the foundation for a useful analysis of what drives cryptocurrency pricing using Python. [blog.patricktriest.com]( [NYC Citi Bike Visualization - A Hint of Future Transportation]( Using a shiny app to detect the most common transportation patterns for NYC’s bike sharing system, predicting the number of bikes at a station, and fixing the rebalancing problem through pricing. Great post and great read. [blog.nycdatascience.com]( [Getting Started with Audio Data Analysis using Deep Learning (with case study)]( Here’s an unconventional project using an audio dataset that encompasses a larger part of a data scientist’s workflow: collecting, understanding and arranging the data. You will also learn how to handle and process audio data in this unique walkthrough. [analyticsvidhya.com]( Elsewhere - [Word Embedding in Deep Learning]( - [Deep Learning is not the AI future]( - [Beer-in-Hand Data Science]( - [Harry Plotter: Part 2 – Hogwarts Houses and their Stereotypes]( - [Topic Modelling Financial news]( Jobs - [Data Scientist - Health Data Science at Quartet, NYC]( - [Data Analyst, Growth at IDAGIO, Berlin]( - [Business Analyst, Grant Street Group, Remote OK]( [Owl R3]( For a closer look at the people that make DataCamp and behind-the-scenes pictures & announcements [follow us on Instagram]( --------------------------------------------------------------- That's all for now. Have a great week! DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](