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摘要: @drsimonj here to show you how to conduct ridge regression (linear regression with L2 regularization) in R using the glmnet package, and use simulatio 阅读全文
posted @ 2017-04-11 09:55 payton数据之旅 阅读(509) 评论(0) 推荐(0) 编辑
摘要: I want to give a quick tutorial on fitting Linear Mixed Models (hierarchical models) with a full variance-covariance matrix for random effects (what B 阅读全文
posted @ 2017-03-28 11:30 payton数据之旅 阅读(223) 评论(0) 推荐(0) 编辑
摘要: Around September of 2016 I wrote two articles on using Python for accessing, visualizing, and evaluating trading strategies (see part 1 and part 2). T 阅读全文
posted @ 2017-03-28 11:25 payton数据之旅 阅读(608) 评论(0) 推荐(0) 编辑
摘要: purrr is package that extends R’s functional programming capabilities. It brings a lot of new stuff to the table and in this post I show you some of t 阅读全文
posted @ 2017-03-27 10:48 payton数据之旅 阅读(325) 评论(0) 推荐(0) 编辑
摘要: A Quick Overview of the ggplot2 Package in R While it will be important to focus on theory, I want to explain the ggplot2 package because I will be us 阅读全文
posted @ 2017-03-24 10:31 payton数据之旅 阅读(343) 评论(0) 推荐(0) 编辑
摘要: Today, I want to show how I use Thomas Lin Pederson’s awesome ggraph package to plot decision trees from Random Forest models. I am very much a visual 阅读全文
posted @ 2017-03-17 10:41 payton数据之旅 阅读(488) 评论(0) 推荐(0) 编辑
摘要: Introduction to Data Visualization – Theory, R & ggplot2 The topic of data visualization is very popular in the data science community. The market siz 阅读全文
posted @ 2017-03-16 10:59 payton数据之旅 阅读(212) 评论(0) 推荐(0) 编辑
摘要: We are happy to finally announce the first release of mlrMBO on cran after a quite long development time. For the theoretical background and a nearly 阅读全文
posted @ 2017-03-14 11:16 payton数据之旅 阅读(318) 评论(0) 推荐(0) 编辑
摘要: The R qgraph Package: Using R to Visualize Complex Relationships Among Variables in a Large Dataset, Part One A Tutorial by D. M. Wiig, Professor of P 阅读全文
posted @ 2017-03-13 17:06 payton数据之旅 阅读(1020) 评论(0) 推荐(0) 编辑
摘要: In this blog post I share some lesser-known (at least I believe they are) tricks that use mainly functions from dplyr. Removing unneeded columns Did y 阅读全文
posted @ 2017-03-13 10:30 payton数据之旅 阅读(223) 评论(0) 推荐(0) 编辑
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