- Project Predict Customer Churn of ML DevOps Engineer Nanodegree Udacity
Bao Loc Pham Project 1 - Predict customer churn with clean code
Overview of the files and data present in the root directory.
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├── Guide.ipynb # Given: Getting started and troubleshooting tips
├── churn_notebook.ipynb # Given: Contains the code to be refactored
├── churn_library.py # ToDo: Define the functions
├── churn_script_logging_and_tests.py # ToDo: Finish tests and logs
├── README.md # ToDo: Provides project overview, and instructions to use the code
├── data # Read this data
│ └── bank_data.csv
├── images # Store EDA results
│ ├── eda
│ └── results
├── logs # Store logs
└── models
Running churn_library
python3 churn_library.py
Running test churn_library
python3 churn_script_logging_and_tests.py