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Integration:  dvc git
b1ff2f9acf
Config DVC
3 years ago
src
60ba34f3ae
Add README, requirements and src to git tracking
3 years ago
dea3544b1a
Initialize DVC
3 years ago
4265b2c0cf
Add data dir to DVC tracking
3 years ago
fae3372e38
Update README file
3 years ago
4265b2c0cf
Add data dir to DVC tracking
3 years ago
e44ee058d3
Update 'requirements.txt'
1 year ago
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README.md

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DAGsHub

Hello World Project's Files

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.

The Project

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
  • src directory - Holds the data-preprocessing, modeling and const 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.
  • data directory - Contains the raw data - enron.csv.
  • requirements.txt - Python dependencies that are required to run the python files.
  • README.md - The project's summary-file.
Tip!

Press p or to see the previous file or, n or to see the next file

About

This repository stores files for the Get Started Project under the DAGsHub Docs

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