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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) #
Model Zoo A collection of standalone TensorFlow and PyTorch models in Jupyter Notebooks. Classifiers Perceptron [TensorFlow] [PyTorch] Logistic Regression [TensorFlow] [PyTorch] Softmax Regression (Multinomial Logistic Regression) [TensorFlow] [PyTorch] Multilayer Perceptron [TensorFlow] [PyTorch] Multilayer Perceptron with Dropout [TensorFlow] [PyTorch] Multilayer Perceptron with Batch Normalizat
I originally created this as a short to-do list of study topics for becoming a software engineer, but it grew to the large list you see today. After going through this study plan, I got hired as a Software Development Engineer at Amazon! You probably won't have to study as much as I did. Anyway, everything you need is here. I studied about 8-12 hours a day, for several months. This is my story: Wh
Part 1 – Creating a Messaging System This tutorial is designed to introduce you to the Fuel PHP framework by walking you through the creation of a simple messaging app. Requirements First and foremost, here’s what you’re going to need: Fuel PHP framework (we’re using v1.1) XAMPP (if you’re having trouble installing this, go here for a tutorial) PHP Environment Variables Configured in Windows (for
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