{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nfrom sklearn.preprocessing import StandardScaler ","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"# Load the data\ntrain = pd.read_csv(\"../input/train.csv\")\ntest = pd.read_csv(\"../input/test.csv\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"12dc3fccb92a36f7f58bd4f17ec9b66831f8b465"},"cell_type":"code","source":"train_x, train_y = train.values[:,1:], train.values[:,0]\ntest_x = test.values","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"e6e0f4c0101457c00b894938546af03ee0544d18"},"cell_type":"code","source":"scaler = StandardScaler()\nscaler.fit(train_x)\ntrain_x = scaler.transform(train_x)\ntest_x = scaler.transform(test_x) \ntest_x_copy = test_x","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"2470fa565747adeba12228d6156040e133471d1b"},"cell_type":"code","source":"import matplotlib.pyplot as plt\nfirst_array=test_x_copy[0].reshape(28,28)\nplt.imshow(first_array)\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"ea42f78d96a1f3d03edc2218f8992e801190ca50"},"cell_type":"code","source":"from sklearn.decomposition import PCA\npca = PCA(n_components=0.95)\npca.fit(train_x)\ntrain_x = pca.transform(train_x)\ntest_x = pca.transform(test_x)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"78586b093177c9f4a61aa45d970edafeae8dc537"},"cell_type":"code","source":"from sklearn.neighbors import KNeighborsClassifier","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"f02703c34657458b24615919783acb1dfbdf602a"},"cell_type":"code","source":"knn = KNeighborsClassifier(n_neighbors=10, n_jobs = -1)\nknn.fit(train_x, train_y)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"93fe3697e72af53241cb1d405f49e3b1eeefaf2e"},"cell_type":"code","source":"results = knn.predict(test_x)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"576db8b1d951ba988ba5e5d52354931c8aee2017"},"cell_type":"code","source":"submission = pd.concat([pd.Series(range(1,28001),name = \"ImageId\"),pd.Series(results, name='Label')],axis = 1)\nsubmission.to_csv(\"cnn_mnist_datagen.csv\",index=False)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"c369a0d2988f8eddfbf20315131c4aaa981d656d"},"cell_type":"markdown","source":"# das Ergebnis war 0.94057\n"},{"metadata":{"trusted":true,"_uuid":"16562c8cc6e58bf4214dd5fa2d1ad2c1237ab80c"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}