Practical Machine Learning with R and Python – Part 5

(This article was first published on R – Giga thoughts …, and kindly contributed to R-bloggers) This is the 5th and probably penultimate part of my series on ‘Practical Machine Learning with R and Python’. The earlier parts of this series included 1. Practical Machine Learning with R and Python – Part 1 In this initial…

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Data Science Live Book (open source)

(This article was first published on R – Data Science Heroes Blog, and kindly contributed to R-bloggers) Well after some time, and +300 commits, this is the biggest release of the Data Science Live Book! (open source), after the first publication more than 1 year ago tl;dr: Hi there! I invite you to read the…

via Data Science Live Book (open source) ~ new big release! 200-pages — R-bloggers

Ensemble learning for time series forecasting in R

(This article was first published on Peter Laurinec, and kindly contributed to R-bloggers) Ensemble learning methods are widely used nowadays for its predictive performance improvement. Ensemble learning combines multiple predictions (forecasts) from one or multiple methods to overcome accuracy of simple prediction and to avoid possible overfit. In the domain of time series forecasting, we…

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Practical Machine Learning with R and Python – Part 2.

(This article was first published on R – Giga thoughts …, and kindly contributed to R-bloggers) In this 2nd part of the series “Practical Machine Learning with R and Python – Part 2”, I continue where I left off in my first post Practical Machine Learning with R and Python – Part 2. In this post…

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Practical Machine Learning with R and Python – Part 1

(This article was first published on R – Giga thoughts …, and kindly contributed to R-bloggers) Introduction This is the 1st part of a series of posts I intend to write on some common Machine Learning Algorithms in R and Python. In this first part I cover the following Machine Learning Algorithms Univariate Regression Multivariate…

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ARIMA models and Intervention Analysis

(This article was first published on R Programming – DataScience+, and kindly contributed to R-bloggers) In my previous tutorial Structural Changes in Global Warming I introduced the strucchange package and some basic examples to date structural breaks in time series. In the present tutorial, I am going to show how dating structural changes (if any)…

via ARIMA models and Intervention Analysis — R-bloggers