{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"collapsed":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\n\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')\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"20a8eccd6f71a32c8137122da3de42a571a28e1c","collapsed":true},"cell_type":"code","source":"test.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"10042b210fbc52c284607ea1e0900712987a0da1","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":"8e9e1e90612ef6c16754fdcccbd91dbf4e154d1b","collapsed":true},"cell_type":"code","source":"#logreg = LogisticRegression()\n\n#logreg.fit(X_train, Y_train)\n\n#Y_pred = logreg.predict(X_test)\n\n#logreg.score(X_train, Y_train)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"2b49ac2e1a291880cc63866a787b5401dcce012d","collapsed":true},"cell_type":"code","source":"# Support Vector Machines\n\nsvc = SVC()\n\nsvc.fit(X_train, Y_train)\n\nY_pred = svc.predict(X_test)\n\nsvc.score(X_train, Y_train)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"5cc5546fcc4b2aedff99aaae27c2d3c2c906ec60","collapsed":true},"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":{"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}