{"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":"markdown","source":"# **Import Libraries**","metadata":{}},{"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","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2021-11-21T20:46:10.641969Z","iopub.execute_input":"2021-11-21T20:46:10.642335Z","iopub.status.idle":"2021-11-21T20:46:10.647882Z","shell.execute_reply.started":"2021-11-21T20:46:10.642301Z","shell.execute_reply":"2021-11-21T20:46:10.64674Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Loading Data**","metadata":{}},{"cell_type":"code","source":"# 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":{"execution":{"iopub.status.busy":"2021-11-21T20:49:32.192958Z","iopub.execute_input":"2021-11-21T20:49:32.193574Z","iopub.status.idle":"2021-11-21T20:49:33.721071Z","shell.execute_reply.started":"2021-11-21T20:49:32.193535Z","shell.execute_reply":"2021-11-21T20:49:33.7205Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"os.getcwd()\nos.ls()","metadata":{"execution":{"iopub.status.busy":"2021-11-21T20:54:31.050935Z","iopub.execute_input":"2021-11-21T20:54:31.051715Z","iopub.status.idle":"2021-11-21T20:54:31.071784Z","shell.execute_reply.started":"2021-11-21T20:54:31.051626Z","shell.execute_reply":"2021-11-21T20:54:31.070676Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Model**","metadata":{}},{"cell_type":"code","source":"# Choose a neural network/ box algorithm to run data on\n# Build Framework for that model here\n# Tweak hyperparameters","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Training Data**","metadata":{}},{"cell_type":"code","source":"# Write code to train data","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# **Testing Data**","metadata":{}},{"cell_type":"code","source":"# Write code to test data","metadata":{},"execution_count":null,"outputs":[]}]}