2164 search results for "regression"

Forecasting with R in WA

August 24, 2014
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On 23–25 September, I will be running a 3-day workshop in Perth on “Forecasting: principles and practice” mostly based on my book of the same name. Workshop participants will be assumed to be familiar with basic statistical tools such as multiple regression, but no knowledge of time series or forecasting will be assumed. Some prior experience in R is...

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Impact of correlated predictions on the variance of an ensemble model

August 21, 2014
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Impact of correlated predictions on the variance of an ensemble model

Let and be the prediction errors of two statistical/machine learning algorithms. and have relatively low bias, and high variances and . They are also correlated, having a Pearson correlation coefficient equal to . Aggregating models and might result in a … Continue reading →

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I like you and you like me…but what does it all mean. (Part 1)

August 19, 2014
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I like you and you like me…but what does it all mean. (Part 1)

Tinder is a popular matchmaking application that allows users to connect with others whom they share a physical attraction. New members build their profile by importing their age, gender, geographic information, and photos from their Facebook account. Users are then presented with profiles which meet their search criteria and are able to like or dislike them. Unlike traditional online

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Integrating R with production systems using an HTTP API

August 19, 2014
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Integrating R with production systems using an HTTP API

by Nick Elprin, Co-Founder of Domino Data Lab We built a platform that lets analysts deploy R code to an HTTP server with one click, and we describe it in detail below. If you have ever wanted to invoke your R model with a simple HTTP call, without dealing with any infrastructure setup or asking for help from developers...

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Propensity Modeling, Causal Inference, and Discovering Drivers of Growth

August 14, 2014
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Propensity Modeling, Causal Inference, and Discovering Drivers of Growth

Imagine you just started a job at a new company. You watched World War Z recently, so you're in a skeptical mood, and given that your last two startups failed from what you believe to be a lack of data, you're giving everything an extra critical eye. You start by thinking about the impact of the sales team. How...

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Table comparing the statistical capabilities of software packages

August 13, 2014
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Table comparing the statistical capabilities of software packages

A statistical consultant known only as "Stanford PhD" has put together a table comparing the statistical capabilities of the software packages R, Matlab, SAS, Stata and SPSS. For each of 57 methods (including techniques like "ridge regression", "survival analysis", "optimization") the author ranks the capabilities of each software package as "Yes" (fully supported), "Limited" or "Experimental". Here are the...

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Vtreat: designing a package for variable treatment

August 7, 2014
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Vtreat: designing a package for variable treatment

When you apply machine learning algorithms on a regular basis, on a wide variety of data sets, you find that certain data issues come up again and again: Missing values (NA or blanks) Problematic numerical values (Inf, NaN, sentinel values like 999999999 or -1) Valid categorical levels that don’t appear in the training data (especially Related posts:

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Social Media Mining and Bioinformatics (with R)

August 5, 2014
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Social Media Mining and Bioinformatics (with R)

In June and July, I receive copies of two books, Social Media Mining with R, by Nathan Danneman and Richard Heimann Bioinformatics with R Cookbook, by Paurush Praveen Sinha For the first one, two recent interesting books deal with the same topic. Reza Zafarani, Mohammad Ali Abbasi and Huan Liu published last year Social Media Mining: An Introduction. Actually, the book can...

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Guns are Cool – Differences between states

August 3, 2014
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Guns are Cool – Differences between states

Last week my blog showed that there are differences between states in the shootingtracker database. This week it is attempted to understand why states are different. A number of variables were extracted from a few sources, among which gun laws, % ...

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ideal point graphics, via d3

July 30, 2014
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ideal point graphics, via d3

I’ve updated some of the graphical displays of the ideal point estimates I serve up here. I’ve rendered some of these in d3, with some rollover lah-de-dah: (1) 113th House ideal points in a long “caterpillar” format; (2) scatterplot of ideal point against Obama 2012 vote in district. Screenshot of the scatterplot appears below. My

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