{"cells":[{"cell_type":"markdown","metadata":{"_cell_guid":"b0a139bc-cae1-1671-7254-492f1969ba03"},"source":"Artificial Neural Networkiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"e85152d2-5aad-eaa6-6143-0ee99e482659"},"outputs":[],"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 in \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 \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nfrom subprocess import check_output\nprint(check_output([\"ls\", \"../input\"]).decode(\"utf8\"))\n\n# Any results you write to the current directory are saved as output."},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"d1e61d3b-bee9-5dcc-390e-87d6a33ba74e"},"outputs":[],"source":"import numpy as np\nimport pandas as pd\nimport seaborn as sns\nfrom sklearn import preprocessing\nfrom sklearn.preprocessing import Imputer\nfrom sklearn.cross_validation import train_test_split\nfrom sklearn.preprocessing import LabelEncoder, OneHotEncoder\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.metrics import confusion_matrix\nfrom sklearn.model_selection import cross_val_score\n\nfrom keras.wrappers.scikit_learn import KerasClassifier\nfrom keras.models import Sequential\nfrom keras.layers.core import Dense, Activation, Reshape, Dropout\nfrom keras.optimizers import SGD\nfrom keras.optimizers import Adam\nfrom keras.layers.normalization import BatchNormalization"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"7f8ccdce-0c53-94ef-73ae-5b8200f88f21"},"outputs":[],"source":"KLLLLLLLLLL\ndataset = pd.read_csv(\"C:\\\\Users\\\\iyer\\\\Documents\\\\Courses\\\\Udemy\\\\Deep Learning A-Z\\\\Volume 1 - Supervised Deep Learning\\\\Part 1 - Artificial Neural Networks (ANN)\\\\Section 4 - Building an ANN\\\\Churn_Modelling.csv\")"}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.0"}},"nbformat":4,"nbformat_minor":0}