{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\n\nimport sys\nimport os\nprint(os.listdir(\"../input\"))\n\n# machine learning\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.svm import SVC, LinearSVC\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.naive_bayes import GaussianNB","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true,"collapsed":true},"cell_type":"code","source":"train = pd.read_csv('../input/train.csv')\ntest = pd.read_csv('../input/test.csv')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"7164a731d2d52da6d1f96faf9073139dc04ea1b6","collapsed":true},"cell_type":"code","source":"X_train = train.drop(\"label\",axis=1)\nY_train = train[\"label\"]\nX_test  = test.copy()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"ee1e16d07a060da05d2ceb3401a6e68acca0bd5f","collapsed":true},"cell_type":"code","source":"from sklearn.preprocessing import StandardScaler\nscaler = StandardScaler()\n# Fit only to the training data\nscaler.fit(X_train)\nX_train = scaler.transform(X_train)\nscaler.fit(X_test)\nX_test = scaler.transform(X_test)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"b1760ce7043919f4802bf264b6175f1c5b07b0b3","collapsed":true},"cell_type":"code","source":"from sklearn.neural_network import MLPClassifier","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"b32e37f31d466009b9f04818838873e8bc56f130"},"cell_type":"code","source":"mlp = MLPClassifier(hidden_layer_sizes=(784,784,784,784,784))\nmlp.fit(X_train,Y_train)\nY_pred = mlp.predict(X_test)\nmlp.score(X_train, Y_train)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"da53cde7d4be1aac807146107bab716c35f1ea2b"},"cell_type":"code","source":"submission = pd.DataFrame({\n        \"ImageId\": list(range(1, len(Y_pred)+1)),\n        \"Label\": Y_pred\n    })\nsubmission.to_csv('submission.csv', index=False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"collapsed":true,"_uuid":"e66a7a95b4ad5273bdd9a954144ecf153c9b2f21"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}