GitHub - The-Japan-DataScientist-Society/100knocks-preprocess: データサイエンス100本ノック（構造化データ加工編）You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - incanter/incanter: Clojure-based, R-like statistical computing and graphics environment for the JVM
Incanter is a Clojure-based, R-like statistical computing and graphics environment for the JVM. At the core of Incanter are the Parallel Colt numerics library, a multithreaded version of Colt, and the JFreeChart charting library, as well as several other Java and Clojure libraries. The motivation for creating Incanter is to provide a JVM-based statistical computing and graphics platform with R-lik
データサイエンティスト養成読本 登竜門編 「11-3 Rで機械学習を試してみよう」のソースコード
Modeling_GermanCredit.r `{�6�U # パッケージをインストールする pkgs <- c("dplyr", "rpart", "rpart.plot", "rattle", "mlr", "evtree") install.packages(pkgs, quiet = TRUE) # パッケージを読み込む library("dplyr") library("rattle") library("mlr") library("evtree") # 読み込まれたパッケージを確認する search() # 表示オプションを設定する options(scipen = 100, dplyr.width = Inf, dplyr.print_max = Inf) # evtreeパッケージのGerman Credit Dataを読み込む data(GermanCredit) #
GitHub - alexgutteridge/rsruby: Ruby - R bridge.
== Introduction RSRuby is a bridge library for Ruby giving Ruby developers access to the full R statistical programming environment. RSRuby embeds a full R interpreter inside the running Ruby script, allowing R methods to be called and data passed between the Ruby script and the R interpreter. Most data conversion is handled automatically, but user-definable conversion routines can also be written
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
docker-stacks/all-spark-notebook at main · jupyter/docker-stacks
GitHub - catboost/catboost: A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
GitHub - piersharding/dplyrimpaladb: R dplyr connector for ImpalaDB
GitHub - rbotafogo/scicom: Scientific Computing for JRuby
GitHub - elbamos/largeVis: An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
GitHub - mac-cain13/R.swift: Strong typed, autocompleted resources like images, fonts and segues in Swift projects