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Election Forecasting and Polling

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datacamp.com

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team@datacamp.com

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Tue, Oct 9, 2018 01:06 PM

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Contingency analysis, TensorFlow tutorial for beginners, recommended IDEs for data scientists and mu

Contingency analysis, TensorFlow tutorial for beginners, recommended IDEs for data scientists and much more!  [DataCamp](  ISSUE #66 — OCTOBER 9, 2018  Happy Tuesday! This week we're diving into contingency analysis in R, a TensorFlow tutorial for beginners, recommended IDEs for data scientists and much more! We also have a new episode of DataFramed! Andrew Gelman, professor of statistics and political science, and director of the Applied Statistics Center at Columbia University, speaks with Hugo about statistics, data science, polling, and election forecasting. [Listen Now](  Community Top Posts  [1]( [Contingency Analysis using R](  R PROGRAMMING  |  Posted by vedabrata10  [Upvotes]( 15 In this tutorial, you'll learn with the help of an example how 'Contingency Analysis' or 'Chi-square test of independence works and also how efficiently you can run it using R.  [2]( [Tensorflow Tutorial for Beginners](  TENSORFLOW  |  Posted by talibkhweled  [Upvotes]( 14 In this TensorFlow beginner tutorial, you'll learn how to build a neural network step-by-step and how to train, evaluate and optimize it.  [3]( [Step-by-step Implementation of CNN using Keras](  CNN  |  Posted by rizwankhan19  [Upvotes]( 14 In this module, you will check out the implementation of CNN using Keras on MNIST dataset and then you will compare the results with the regular neural network.  [4]( [Pairs Trading on ETF EPAT Project Work](  FINANCE  |  Posted by virajb  [Upvotes]( 13 This project covers building a portfolio using 3 ETF pairs in oil (USO vs XLE), technology (XLK vs IYW), and financial sectors (XLF vs PSCF).  [5]( [LeNet-5: a classic, 'hello-world' CNN architecture](  NEURAL NETWORKS  |  Posted by rizwankhan19  [Upvotes]( 12 Yann LeCun proposed a neural network architecture for handwritten and machine-printed character recognition in the 1990s which he called LeNet-5. The architecture is straightforward and simple to understand which is why it is mostly used as the first step for teaching Convolutional Neural Networks.  [6]( [Real Effective Exchange Rate (REER)](  FINANCE  |  Posted by virajb  [Upvotes]( 9 The real effective exchange rate (REER) is the weighted average of a country's currency in relation to a basket of other currencies. This article talks about Real Effective Exchange Rates and how they are useful in measuring whether a currency has appreciated relative to its trading partners.  [7]( [Data Science 2018 Recap: Salaries, Hiring Trends, and Predictions](  CAREER  |  Posted by lindaburtch  [Upvotes]( 7 This 13-minute video shares the top insights from our new 2018 data science salary report, including compensation trends, developing hiring market trends, and our predictions for where the field is headed.  [8]( [Aroon Indicator: How To Use It For Cryptocurrency Trading](  FINANCE  |  Posted by virajb  [Upvotes]( 7 This article helps to understand the Aroon Indicator, also known as Aroon Oscillator. In this blog, you will learn about how to use it in cryptocurrency trading.  [9]( [Recommended IDE for Data Scientists and Machine Learning Engineers](  IDE  |  Posted by lohobas  [Upvotes]( 6 An overview of the development environments for data scientists and machine learning engineers programming in R, Python, Scala, and Julia.   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](   That's all for now. Have a great week!   [DataCamp](  DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118  [Facebook]( [Twitter]( [LinkedIn]( [Instagram]( [YouTube](  [Download on the App Store]( [Get it on Google Play](  [Unsubscribe]( Â

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