{"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')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"af383612f342de37103fc1866976219d50252f97","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":"f3801f65d1f299682636bd420146fd0bafd94eaa","collapsed":true},"cell_type":"code","source":"knn = KNeighborsClassifier(n_neighbors = 3)\n\nknn.fit(X_train, Y_train)\n\nY_pred = knn.predict(X_test)\n\nknn.score(X_train, Y_train)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"373f4a86a513f9a55f90787c81382102f4ce76c9","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}