2310 search results for "time series"

Principal Components Regression, Pt. 3: Picking the Number of Components

May 30, 2016
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Principal Components Regression, Pt. 3: Picking the Number of Components

In our previous note we demonstrated Y-Aware PCA and other y-aware approaches to dimensionality reduction in a predictive modeling context, specifically Principal Components Regression (PCR). For our examples, we selected the appropriate number of principal components by eye. In this note, we will look at ways to select the appropriate number of principal components in … Continue reading...

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Some Impressions from R Finance 2016

May 27, 2016
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Some Impressions from R Finance 2016

by Joseph Rickert R / Finance 2016 lived up to expectations and provided the quality networking and learning experience that longtime participants have come to value. Eight years is a long time for a conference to keep its sparkle and pizzazz. But, the conference organizers and the UIC have managed to create a vibe that keeps people coming back....

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Understanding Bayesian A/B testing (using baseball statistics)

May 23, 2016
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Understanding Bayesian A/B testing (using baseball statistics)

Previously in this series Understanding the beta distribution (using baseball statistics) Understanding empirical Bayes estimation (using baseball statistics) Understanding credible intervals (using baseball statistics) Understanding the Bayesian approach to false discovery rates (using baseball statistics) Who is a better batter: Mike Piazza or Hank Aaron? Well, Mike Piazza has a slightly higher career...

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Setting up a DataScience Server

May 20, 2016
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Setting up a DataScience Server

After installing multiple software, servers etc. on my  laptop it was overloaded with different tools and running services. When I get a new laptop or it will crash I can start The post Setting up a DataScience Server appeared first on Networkx.

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Best packages for data manipulation in R

May 17, 2016
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Best packages for data manipulation in R

There are 2 packages that make data manipulation in R fun. These are dplyr and data.table. Both packages have their strengths. While dplyr is more elegant and resembles natural language, data.table is succinct and we can do a lot with data.table in just a single line. Further, data.table is, in some cases, faster (see benchmark Related Post

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Principal Components Regression in R, an operational tutorial

May 17, 2016
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Principal Components Regression in R, an operational tutorial

John Mount Ph. D. Data Scientist at Win-Vector LLC Win-Vector LLC's Dr. Nina Zumel has just started a two part series on Principal Components Regression that we think is well worth your time. You can read her article here. Principal Components Regression (PCR) is the use of Principal Components Analysis (PCA) as a dimension reduction step prior to linear...

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Principal Components Regression, Pt.1: The Standard Method

May 16, 2016
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In this note, we discuss principal components regression and some of the issues with it: The need for scaling. The need for pruning. The lack of “y-awareness” of the standard dimensionality reduction step. The purpose of this article is to set the stage for presenting dimensionality reduction techniques appropriate for predictive modeling, such as y-aware … Continue reading...

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Animated great circles on rotating 3D Earth: Example R code

May 16, 2016
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Making still frames for great circle animations in R Matthew Leonawicz Here I share R code I used to produce animated great circle arcs on top of a rotating 3D Earth. The code is not entirely reproducible but you should be able to use what is shared here to create your own video frames given

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Rcpp 0.12.5: Yet another one

The fifth update in the 0.12.* series of Rcpp has arrived on the CRAN network for GNU R a few hours ago, and was just pushed to Debian. This 0.12.5 release follows the 0.12.0 release from late July, the 0.12.1 release in September, the 0.12.2 release in November, the 0.12.3 release...

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Global Temperature Change in R & D3 (without the vertigo)

May 14, 2016
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Global Temperature Change in R & D3 (without the vertigo)

This made the rounds on social media last week: Spiraling global temperatures from 1850-2016 (full animation) https://t.co/YETC5HkmTr pic.twitter.com/Ypci717AHq— Ed Hawkins (@ed_hawkins) May 9, 2016 One of the original versions was static and was not nearly as popular, but—as you can see—this one went viral. Despite the public’s infatuation with circles (I’m lookin’ at you, pie... Continue reading →

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