{"cells":[{"metadata":{"_uuid":"051d70d956493feee0c6d64651c6a088724dca2a","_execution_state":"idle","trusted":false},"cell_type":"code","source":"\n\nlibrary(tidyverse) \nlibrary(recipes)\n\n\n","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**Categorical Challenge Prediction II**\n\n![](https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQYrmIPEe--yQ6xtfcYbkn_u3nPXha2XDcjlYi_XLG3U47YsZoC&s)"},{"metadata":{"trusted":true},"cell_type":"code","source":"cat.train <- read.csv('../input/cat-in-the-dat-ii/train.csv')\ncat.test <- read.csv('../input/cat-in-the-dat-ii/test.csv')","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Load the train and test data to preprocess"},{"metadata":{"trusted":true},"cell_type":"code","source":"cat.test$target <- NA\ncat <- rbind(cat.train, cat.test)\ndim(cat)","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"R","language":"R","name":"ir"},"language_info":{"mimetype":"text/x-r-source","name":"R","pygments_lexer":"r","version":"3.4.2","file_extension":".r","codemirror_mode":"r"}},"nbformat":4,"nbformat_minor":1}