https://github.com/crissyro/base-of-ds
This repository serves as a foundation for projects in Data Science and Machine Learning.
https://github.com/crissyro/base-of-ds
clustering-algorithm data-science data-visualization machine-learning
Last synced: 2 months ago
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This repository serves as a foundation for projects in Data Science and Machine Learning.
- Host: GitHub
- URL: https://github.com/crissyro/base-of-ds
- Owner: crissyro
- License: mit
- Created: 2024-07-09T14:13:46.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2025-03-29T20:52:20.000Z (3 months ago)
- Last Synced: 2025-03-29T21:28:33.336Z (3 months ago)
- Topics: clustering-algorithm, data-science, data-visualization, machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 193 MB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: SECURITY.md
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README
# Base of Data Science (DS) and Machine Learning
## Overview
This repository serves as a foundation for projects in Data Science and Machine Learning. It includes essential tools, libraries, and configurations to streamline development and experimentation. Key components include a `requirements.txt` file for dependencies and a `Dockerfile` for setting up a Jupyter-based environment.
## Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contribution](#contribution)
- [License](#license)
## Features
- Pre-configured environment for Data Science and Machine Learning.
- Docker support for consistent and isolated development.
- Dependencies listed in `requirements.txt` for easy installation.
- Ready-to-use Jupyter Notebook interface.
## Installation
### Using Docker
1. Build the Docker image:
```bash
docker build -t base-of-ds .
```
2. Run the container:
```bash
docker run -p 8888:8888 -v $(pwd):/home/jupyter base-of-ds
```
3. Access the Jupyter Notebook interface at `http://localhost:8888`.
### Without Docker
1. Clone the repository:
```bash
git clone https://github.com/crissyro/base-of-DS.git
```
2. Navigate to the project directory:
```bash
cd base-of-DS
```
3. Install dependencies:
```bash
pip install -r requirements.txt
```
## Usage
This repository is structured for flexibility in Data Science workflows. Use the Jupyter Notebook interface or scripts in the repository for experimentation and analysis.
### Example
1. Launch Jupyter Notebook:
```bash
jupyter notebook
```
2. Open and run notebooks in the `notebooks/` directory.
## Contribution
We welcome contributions to improve this repository. See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.
## License
This repository is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.