https://github.com/thedhruvish/datasciencewith
datasciencewith
https://github.com/thedhruvish/datasciencewith
coding data dataanylasis datascience learing machine-learning
Last synced: over 1 year ago
JSON representation
datasciencewith
- Host: GitHub
- URL: https://github.com/thedhruvish/datasciencewith
- Owner: thedhruvish
- License: mit
- Created: 2024-10-21T18:06:16.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-22T05:07:27.000Z (over 1 year ago)
- Last Synced: 2025-02-22T05:25:45.344Z (over 1 year ago)
- Topics: coding, data, dataanylasis, datascience, learing, machine-learning
- Language: JavaScript
- Homepage: https://datasciencewith.pages.dev/
- Size: 714 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# DataScienceWith
## Problem
In This Docs are help and learn to Data Science and any secifi Topic Learn.
# What is DataScienceWith
- In This Project Any Secifiy function and To be find the solution To be help full This Docs Website
- For the Begger Level to Learn Eazy and Its provied the code.
# 🏁 Installation
## 💻 Running locally
To run the DataSciencewith project locally, follow these steps:
1. Install [Python](https://python.org/), [NodeJs](https://www.nodejs.org/), [JupyterLab](https://jupyter.org/install) on your machine.
2. Clone the project repository.
3. Navigate to the project directory.
4. Install the packages and Run docs:
```bash
git clone https://github.com/thedhruvish.com/datasciencewith.git
cd datasciencewith
npm install
npm start
```
5. DataScienceWith Docs are Live on Machine.
# How to contribute - Guidelines
## ⚡️ Contribute in DataScienceWith codebase:
We welcome your interest in contributing to our open source project!
To contribute to DataScienceWith, please follow these steps:
1. Fork the repository.
2. Create a new branch for your feature or bug fix: `git checkout -b feat/your-feature-name` or `git checkout -b fix/your-bug-fix-name` and make your changes.
3. Run all the tests 🧪 before committing the changes and make sure all tests are passed.
4. After all tests are passed, commit your changes with a descriptive messages: `git commit -am 'add your commit message'`
5. For more details on the commit format and other guidelines, please refer to the [Contributor Guidelines](./CONTRIBUTING.md).
6. Push your changes to your forked repository: `git push origin feat/your-feature-name`.
7. Submit a pull request to the main repository, explaining the changes you've made and providing any necessary details.