{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","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\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 read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-03-29T15:39:17.837817Z","iopub.execute_input":"2022-03-29T15:39:17.838682Z","iopub.status.idle":"2022-03-29T15:39:17.871532Z","shell.execute_reply.started":"2022-03-29T15:39:17.83858Z","shell.execute_reply":"2022-03-29T15:39:17.870615Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import pandas as pd\nimport matplotlib.pyplot as plt, matplotlib.image as mpimg\nfrom sklearn.model_selection import train_test_split\nfrom sklearn import svm\n%matplotlib inline","metadata":{"execution":{"iopub.status.busy":"2022-03-29T15:39:37.030747Z","iopub.execute_input":"2022-03-29T15:39:37.031305Z","iopub.status.idle":"2022-03-29T15:39:38.187885Z","shell.execute_reply.started":"2022-03-29T15:39:37.03127Z","shell.execute_reply":"2022-03-29T15:39:38.186939Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"labeled_images = pd.read_csv('../input/digit-recognizer/train.csv')\nimages = labeled_images.iloc[0:5000,1:]\nlabels = labeled_images.iloc[0:5000,:1]\ntrain_images, test_images,train_labels, test_labels = train_test_split(images, labels, train_size=0.8, random_state=0)","metadata":{"execution":{"iopub.status.busy":"2022-03-29T15:40:12.786451Z","iopub.execute_input":"2022-03-29T15:40:12.787284Z","iopub.status.idle":"2022-03-29T15:40:16.467559Z","shell.execute_reply.started":"2022-03-29T15:40:12.787245Z","shell.execute_reply":"2022-03-29T15:40:16.466524Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.hist(train_images.iloc[i])","metadata":{"execution":{"iopub.status.busy":"2022-03-29T15:41:02.733021Z","iopub.execute_input":"2022-03-29T15:41:02.733359Z","iopub.status.idle":"2022-03-29T15:41:02.941101Z","shell.execute_reply.started":"2022-03-29T15:41:02.733319Z","shell.execute_reply":"2022-03-29T15:41:02.940453Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"clf = svm.SVC()\nclf.fit(train_images, train_labels.values.ravel())\nclf.score(test_images,test_labels)","metadata":{"execution":{"iopub.status.busy":"2022-03-29T15:41:23.308193Z","iopub.execute_input":"2022-03-29T15:41:23.308474Z","iopub.status.idle":"2022-03-29T15:41:27.642242Z","shell.execute_reply.started":"2022-03-29T15:41:23.308447Z","shell.execute_reply":"2022-03-29T15:41:27.641485Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2022-03-29T15:41:53.155472Z","iopub.execute_input":"2022-03-29T15:41:53.155905Z","iopub.status.idle":"2022-03-29T15:41:53.255969Z","shell.execute_reply.started":"2022-03-29T15:41:53.155873Z","shell.execute_reply":"2022-03-29T15:41:53.254632Z"},"trusted":true},"execution_count":null,"outputs":[]}]}