随笔分类 - R
R语言学习分享
摘要：Reinforcement learning has gained considerable traction as it mines real experiences with the help of trial-and-error learning to model decision-makin
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摘要：factoextra is an R package making easy to extract and visualize the output of exploratory multivariate data analyses, including: Principal Component A
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摘要：Intro In an earlier post I talked about Spark and sparklyR and did some experiments. At my work here at RTL Nederland we have a Spark cluster on Amazo
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摘要：In two previous blog posts I discussed some techniques for visualizing relationships involving two or three variables and a large number of cases. In
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摘要：Introduction Deep learning is a recent trend in machine learning that models highly non-linear representations of data. In the past years, deep learni
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摘要：@drsimonj here to show you how to use xgboost (extreme gradient boosting) models in pipelearner. Why a post on xgboost and pipelearner? xgboost is one
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摘要：I had started a “52 Vis” initiative back in 2016 to encourage folks to get practice making visualizations since that’s the only way to get better at v
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摘要：There is a plethora of classification algorithms available to people who have a bit of coding experience and a set of data. A common machine learning
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摘要：Previously in this series: The beta distribution Empirical Bayes estimation Credible intervals The Bayesian approach to false discovery rates Bayesian
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摘要：本实例要实现目标通过输入城市名或者地名，然后找出其经度纬度值，以及通过可视化展现其线路流向以及周边地图展示 address_list数据： 山西省太原市小店区亲贤北街77号 贵州省贵阳市云岩区书香门第B栋3单元 北京市通州区神树商业街168号 贵州省贵阳市南明区兴关路51 北京市东城区长巷二条乙5号
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摘要：This example shows how to construct and conduct inference on a state space model using particle filtering algorithms. nimblecurrently has versions of
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摘要：@drsimonj here to introduce pipelearner – a package I’m developing to make it easy to create machine learning pipelines in R – and to spread the word
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摘要：Before we start My chinese skills are poor and biased. I did learn during my internship and I continue to study while I can translate "last year our e
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摘要：@drsimonj here to share a tidyverse method of grid search for optimizing a model’s hyperparameters. Grid Search For anyone who’s unfamiliar with the t
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摘要：When faced with classification tasks in the real world, it can be challenging to deal with an outcome where one class heavily outweighs the other (a.k
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摘要：自从买了kindle以后，总是想要定期刷有没有便宜的书，amazon经常有些1元/2元的书打特价，但是每次都去刷那些榜单太麻烦了，而且榜单又不能按照价格排名，捞书有点累 所以自己用R语言的rvest包简单写了一个小程序，让它自动按照不同价格区间把特价书给分出来。 主要看的是kindle新品排行榜和最
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摘要：Centos下安装MXNET，参考官方文档http://mxnet.io/get_started/setup.html#prerequisites， 一、安装python的mxnet步骤如下： 测试下是否安装成功： ok，成功！ 1 error解决： 1.1 安装opencv需要注意的地方： 1)、
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摘要：特征选择（Feature Selection,FS）和特征抽取（Feature Extraction, FE）是特征工程（Feature Engineering）的两个重要的方面。 他们之间最大的区别就是是否生成新的属性。 FS仅仅对特征进行排序（Ranking）和选择， FE更为复杂，需要重新认识
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摘要：本文旨在介绍R语言中ggplot2包的一些精细化操作，主要适用于对R画图有一定了解，需要更精细化作图的人，尤其是那些刚从excel转ggplot2的各位，有比较频繁的作图需求的人。不讨论那些样式非常酷炫的图表，以实用的商业化图表为主。包括以下结构： 1、画图前的准备：自定义ggplot2格式刷 2、
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摘要：Every now and again someone comes along and writes an R package that I consider to be a ‘game changer’ for the language and it’s application to Data S
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