How to add Trend Lines in R Using Plotly — R-bloggers

(This article was first published on R – Displayr, and kindly contributed to R-bloggers) 1. Global trend lines One of the simplest methods to identify trends is to fit a ordinary least squares regression model to the data. The model most people are familiar with is the linear model, but you can add other polynomial…

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Code for Workshop: Introduction to Machine Learning with R — R-bloggers

(This article was first published on Shirin’s playgRound, and kindly contributed to R-bloggers) These are the slides from my workshop: Introduction to Machine Learning with R which I gave at the University of Heidelberg, Germany on June 28th 2018. 3,305 more words

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Time Series Deep Learning, Part 2: Predicting Sunspot Frequency with Keras LSTM In R — R-bloggers

(This article was first published on business-science.io – Articles, and kindly contributed to R-bloggers) One of the ways Deep Learning can be used in business… 7,248 more words

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Deep Learning for Time Series Forecasting: Predicting Sunspot Frequency with Keras — R-bloggers

(This article was first published on TensorFlow for R, and kindly contributed to R-bloggers) Forecasting sunspots with deep learning In this post we will examine making time series predictions using the sunspots dataset that ships with base R. Sunspots are dark spots on the sun, associated with lower temperature. Here’s an image from NASA showing…

via Deep Learning for Time Series Forecasting: Predicting Sunspot Frequency with Keras — R-bloggers

R 3.5.0 is released! (major release with many new features) — R-bloggers

(This article was first published on R – R-statistics blog, and kindly contributed to R-bloggers) R 3.5.0 (codename “Joy in Playing”) was released yesterday. You can get the latest binaries version from here. (or the .tar.gz source code from here). This is a major release with many new features and bug fixes, the full list is provided below. Upgrading…

via R 3.5.0 is released! (major release with many new features) — R-bloggers

Regression Analysis Essentials For Machine Learning

(This article was first published on Easy Guides, and kindly contributed to R-bloggers) Regression analysis consists of a set of machine learning methods that allow us to predict a continuous outcome variable (y) based on the value of one or multiple predictor variables (x). Briefly, the goal of regression model is to build a mathematical…

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R 3.4.4 released

(This article was first published on Revolutions, and kindly contributed to R-bloggers) R 3.4.4 has been released, and binaries for Windows, Mac, Linux and now available for download on CRAN. This update (codenamed “Someone to Lean On” — likely a Peanuts reference, though I couldn’t find which one with a quick search) is a minor…

via R 3.4.4 released — R-bloggers