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This repository contains the 'Hello World' project files as part of the Get Started Section in the DAGsHub Documentation.
The Get Started section is all about helping you learn the basic features and usage of DAGsHub. We'll guide you, step-by-step, to create your very first 'Hello World' project. Our main goal is to help you gain hands-on experience using DAGsHub while having the benefit of comparing your project's status with the guide.
This project is a simple 'Ham or Spam' classifier for emails using the Enron data set.
$ tree -a -I venv
.
├── .gitignore
├── data
│ └── enron.csv
├── requirements.txt
└── src
├── const.py
├── data_preprocessing.py
└── modeling.py
2 directories, 6 files
data-preprocessing.py
- Processing the raw data, splits it to train and test sets, and saves it to the data directory.modeling.py
- Simple Random Forest Regressor.const.py
- Holds the Constance of the projects.enron.csv
.requirements.txt
- Python dependencies that are required to run the python files.Press p or to see the previous file or, n or to see the next file
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