Machine learning logistic regression for credit modelling in R — R-bloggers

(This article was first published on R Programming – DataScience+, and kindly contributed to R-bloggers) Categories Regression Models Tags Logistic Regression R Programming ROC Machine learning logistic regressions is a widely popular method to model credit modeling. There are excellent and efficient packages in R, that can perform these types of analysis. Typically you will…

via Machine learning logistic regression for credit modelling in R — R-bloggers

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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

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

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

Machine learning at central banks

https://www.bankofengland.co.uk/working-paper/2017/machine-learning-at-central-banks

Published on 01 September 2017

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…

via Regression Analysis Essentials For Machine Learning — R-bloggers