{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"0243c5ef-fe39-e420-bf68-525a1b8f2a3a"},"outputs":[],"source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"331612a8-74a9-f976-e3a5-cfdaa6ead044"},"outputs":[],"source":"train = pd.read_csv(\"../input/train.csv\")\ny = train[\"label\"]\ntrain = train.drop(\"label\",1)\n\n#pembagian buat akurasi (pengecekkan)\nx_train = train[2000:]\nx_valid = train[:2000]\n\ny_train = y[2000:]\ny_valid = y[:2000]\n\n#paramaeter x, y (x,y)\nprint(x_train.shape)\nprint(y_train.shape)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"6cb00d34-ea77-754b-3a8d-350eda675095"},"outputs":[],"source":"from sklearn.preprocessing import StandardScaler\nx_train = StandardScaler().fit(x_train).transform(x_train)\nx_valid = StandardScaler().fit(x_valid).transform(x_valid)\nx_train = x_train.reshape(x_train.shape[0], 28, 28, 1).astype('float32')\nx_valid = x_valid.reshape(x_valid.shape[0], 28, 28, 1).astype('float32')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"63f4e8b0-ff9b-c4e3-0ac1-e67964ef7d8a"},"outputs":[],"source":"x_train = x_train / 255\nx_valid = x_valid / 255\n\nfrom keras.utils import np_utils\ny_train = np_utils.to_categorical(y_train)\ny_valid = np_utils.to_categorical(y_valid)\ny_train"}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.0"}},"nbformat":4,"nbformat_minor":0}