220 search results for "heatmap"

Exploring and Understanding Hyperparameter Tuning

August 20, 2016
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Exploring and Understanding Hyperparameter Tuning

Learners use hyperparameters to achieve better performance on particular datasets. When we use a machine learning package to choose the best hyperparmeters, the relationship between changing the hyperparameter and performance might not be obvious. ml...

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Annotating sets of genomic intervals with genomic annotations such as chromHMM

August 12, 2016
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Annotating sets of genomic intervals with genomic annotations such as chromHMM

Annotating sets of genomic intervals with genomic annotations such as chromHMM Genomation is an R package to summarize, annotate and visualize genomic intervals. It contains a collection of tools for visualizing and analyzing genome-wide data sets, i.e....

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Attribution model with R (part 1: Markov chains concept)

As we know, a customer usually goes through a path/sequence of different channels/touchpoints before a purchase in e-commerce or conversion in other areas. In Google Analytics we can find some touchpoints more likely to assist to conversion than others that more likely to be last-click touchpoint. As most of the channels are paid for (in The post

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Some New R Packages

July 14, 2016
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Some New R Packages

by Joseph Rickert New R packages keep rolling into CRAN at a prodigious rate: 184 in May, 195 in June and July looks like it will continue the trend. I spent some time sorting through them and have picked out a few that that are interesting from a data science point of view. ANLP provides functions for building text...

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Creating color palettes in R

July 10, 2016
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Creating color palettes in R

In the R post, we will present how to create your own color palettes and how to work with other palettes such as RColorBrewer, wesanderson and hex codes from www.colorcombos.com for exciting color palettes.

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Express dplyr Part II

July 7, 2016
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Express dplyr Part II

This is Part II of the “Express dplyr” posting. If you haven’t already you might want to review Part I of this topic before proceeding although if you have some knowledge of dplyr then by all means proceed. Don’t worry – there are no tests ! In this second part we will work with some

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Text Mining with R on Vikings episode scripts

July 6, 2016
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Text Mining with R on Vikings episode scripts

Synopsis I'm a hugh fan of the TV show Vikings. I thought it would be cool to mine the tv shows scripts to figure out which terms are the most The post Text Mining with R on Vikings episode scripts appeared first on Networkx.

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Interactive Q-Q Plots in R using Plotly

June 27, 2016
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Introduction In a recent blog post, I introduced the new R package, manhattanly, which creates interactive manhattan plots using the plotly.js engine. In this post, I describe how to create interactive Q-Q plots using the manhattanly package. Q-Q plots tell us about the distributional assumptions of the observed test statistics and are common visualisation tools

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Case Study: Animation and Others Vizs

June 22, 2016
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Case Study: Animation and Others Vizs

This post will be about if we can show some data in other ways to try to tell more clearly the Oh! Foo! is this rly happening? story. Time time ago an gif appears showing the change of the global temperatures over time. Well, some sites like http://gizmodo.com/ made a reference to this animation as one-of-the-most-convincing-climate-change-visualization. Mmmm… ok! A kind of...

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How to use data analysis for machine learning, part 2

June 21, 2016
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How to use data analysis for machine learning, part 2

In part 1, we went over how to use data visualization and data analysis prior to machine learning. For example, we discussed how to visualize the data to identify potential issues in the dataset, examine the variable distributions, etc. In this blog post, we’ll continue by building a very simple model and using data visualization The post

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