Are you thinking about submitting a package to rOpenSci’s open peer software review? Considering volunteering to review for the first time? Maybe you’re an experienced package author or reviewer and have ideas about how we can improve. Join our Community Call on Wednesday, September 13th. We want to ... [Read more...]

The tfestimators package is an R interface to TensorFlow Estimators, a high-level API that provides implementations of many different model types including linear models and deep neural networks. More models are coming soon such as state saving recurrent neural networks, dynamic recurrent neural networks, support vector machines, random forest, KMeans ... [Read more...]

The tfestimators package is an R interface to TensorFlow Estimators, a high-level API that provides implementations of many different model types including linear models and deep neural networks. More models are coming soon such as state saving recurrent neural networks, dynamic recurrent neural networks, support vector machines, random forest, KMeans ... [Read more...]

What kind of probability are people talking about when they say something is "highly likely" or has "almost no chance"? The chart below, created by Reddit user zonination, visualizes the responses of 46 other Reddit users to "What probability would you assign to the phase: " for various statements of probability. Each ... [Read more...]

The Internet Movie Database (Imdb) is a great source to get information about movies. Keras provides access to some part of the cleaned dataset (e.g. for sentiment classification). While sentiment classification is an interesting topic, I wanted to see... [Read more...]

R is often used to visualize and animate 2-dimensional data. (Here are just a few examples.) But did you know you can create 3-dimensional animations as well? As Thomas Lins Pedersen explains in a recent blog post, the trick is in using the persp function to translate points in 3-D ... [Read more...]

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Are you a person who likes to try new products? Are you curious about which hair products are popular and trendy? If you're excited about getting […] The post Web Scraping Influenster: Find a Popular Hair Care Product for You appeared first on NYC Data Science Academy Blog. [Read more...]

Data wrangling, is the process of importing, cleaning and transforming raw data into actionable information for analysis. It is a time-consuming process which is estimated to take about 60-80% of analyst’s time. In this series we will go through this process. It will be a brief series with goal ... [Read more...]

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A second fix-up release is needed following on the recent bi-monthly RcppArmadillo release as well as the initial follow-up as it turns out that OS X / macOS is so darn special that it needs an entire separate treatment for OpenMP. Namely to turn it... [Read more...]

In the fourth part in a series on Tidy Time Series Analysis, we’ll investigate lags and autocorrelation, which are useful in understanding seasonality and form the basis for autoregressive forecast models such as AR, ARMA, ARIMA, SARIMA (basically any forecast model with “AR” in the acronym). We’ll use ... [Read more...]

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Atmospheric air pollution is one of the most important environmental concerns in many countries around the world, and it is strongly affected by meteorological conditions. Accordingly, in this set of exercises we use openair package to work and analyze air quality and meteorological data. This packages provides tools to directly ... [Read more...]

Far away, this ship has taken me far away (Starlight, Muse) Madrid City has an Open Data platform where can be found around 300 data sets about a number of topics. One of these sets is the one I used for this experiment. It contains information about cycling accidents  happened in ... [Read more...]

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"... once you have mastered the essential functions as isolated units, you need to learn how to put them together." The post Tidyverse practice: mapping large European cities appeared first on SHARP SIGHT LABS. [Read more...]