3618 search results for "GIS"

R in Insurance: Registration and abstract submission opened

January 12, 2016
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R in Insurance: Registration and abstract submission opened

Following the successful 3rd R in Insurance conference in Amsterdam last year, we return to London this year.The registration for the 4th conference on R in Insurance on Monday 11 July 2016 at Cass Business School has opened. This one-day conference will focus again on applications in insurance and actuarial science that...

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Data Science Radar – Technologist Profile

December 14, 2015
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Data Science Radar – Technologist Profile

    by Mark Sellors, Mango Solutions @sellorm  Mark Sellors from Mango took the Data Science Radar Challenge and his dominant skill was a Technologist, so we asked him a few questions. 1.  Tell us a bit about your background … Continue reading →

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Register for Hadley Wickham’s Master R Developer Workshop – San Francisco

December 9, 2015
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Register for Hadley Wickham’s Master R Developer Workshop – San Francisco

Are you ready to upgrade your R skills?  Register soon to secure your seat. On January 28 and 29, 2016, Hadley Wickham will teach his popular Master R Developer Workshop at the Westin San Francisco Airport.  The workshop is offered only 3 times a year and the San Francisco class is already nearly 50% full. This

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updating the GISS dataset

November 6, 2015
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updating the GISS dataset

Introduction I was watching a video of David Suzuki being interviewed on Australian TV, and there were some questions about the “pause” in temperature in the GISS dataset. I thought I’d like to check for myself, and reasoned that I may as well update the giss dataset in the ocedata R package. As always seems to be the case, the data format is changed...

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My QGIS Processing Scripts at GitHub

October 22, 2015
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This is probably my shortest post ever.All my QGIS processing scripts (R and Python) and models that I already blogged about, plus some extra are now available at GitHub.

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Introduction to Logistic Regression with R

October 6, 2015
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Introduction to Logistic Regression with R

In my previous blog I have explained about linear regression. In today’s post I will explain about logistic regression.         Consider a scenario where we need to predict a medical condition of a patient (HBP) ,HAVE HIGH BP or NO HIGH BP, based on some observed symptoms – Age, weight, Issmoking, Systolic...

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Predicting creditability using logistic regression in R: cross validating the classifier (part 2)

September 15, 2015
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Predicting creditability using logistic regression in R: cross validating the classifier (part 2)

Now that we fitted the classifier and run some preliminary tests, in order to get a grasp at how our model is doing when predicting creditability we need to run some cross validation methods.Cross validation is a model evaluation method that does not u...

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How to perform a Logistic Regression in R

September 13, 2015
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How to perform a Logistic Regression in R

Logistic regression is a method for fitting a regression curve, y = f(x), when y is a categorical variable. The typical use of this model is predicting y given a set of predictors x. The predictors can be continuous, categorical or a mix of both. The categorical variable y, in general, can assume different values.

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Logistic Regression in R – Part Two

September 2, 2015
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Logistic Regression in R – Part Two

My previous post covered the basics of logistic regression. We must now examine the model to understand how well it fits the data and generalizes to other observations. The evaluation process involves the assessment of three distinct areas – goodness of fit, tests of individual predictors, and validation of predicted values – in order to

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Predicting creditability using logistic regression in R (part 1)

September 2, 2015
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As I said in the previous post, this summer I’ve been learning some of the most popular machine learning algorithms and trying to apply what I’ve learned to real world scenarios. The German Credit dataset provided by the UCI Machine Learning Repository is another great example of application.The German Credit dataset contains 1000 samples of applicants asking for...

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