https://github.com/doarakko/kagoole

Search kaggle competitions and solutions based on data and predict type, evaluation metric, etc.
https://github.com/doarakko/kagoole

artificial-intelligence data-science heroku kaggle kaggle-competition kaggle-solution machine-learning webapp

Last synced: 1 day ago
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Search kaggle competitions and solutions based on data and predict type, evaluation metric, etc.

• Host: GitHub
• URL: https://github.com/doarakko/kagoole
• Owner: Doarakko
• License: mit
• Created: 2019-06-04T05:12:55.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-04-29T14:06:18.000Z (almost 2 years ago)
• Last Synced: 2024-05-01T16:38:08.841Z (9 months ago)
• Topics: artificial-intelligence, data-science, heroku, kaggle, kaggle-competition, kaggle-solution, machine-learning, webapp
• Language: JavaScript
• Homepage:
• Size: 1.87 MB
• Stars: 13
• Watchers: 4
• Forks: 1
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        
# Kagoole

Search [Kaggle](https://www.kaggle.com) competitions and solutions based on data and predict type, evaluation metric, etc.

> **Warning**

> This website has closed. Twitter account is active.

![sample](./sample.png)

[This](https://twitter.com/kagoole) is Twitter account that tweet when new Kaggle competition is launched.

![tweet example](./tweet-example.png)

## Requirements

- [Kaggle API](https://github.com/Kaggle/kaggle-api)

- docker-compose

- npm

## Usage

### 1. init

```sh

git clone https://github.com/Doarakko/kagoole

cp .env.example .env

cp frontend/.env.example frontend/.env

```

Enter your Kaggle username and key to `.env`.

```env

KAGGLE_KEY=bbbb

KAGGLE_USERNAME=cccc

```

### 2. Run backend

```sh

docker-compose up

```

### 3. Migrate

```sh

docker exec -it kagoole_backend python manage.py makemigrations kagoole

docker exec -it kagoole_backend python manage.py migrate

```

### 4. Initialize Kaggle data

```sh

docker exec -it kagoole_backend python manage.py runscript starter

```

Check `http://0.0.0.0:8000`.

### 5. Run frontend

```sh

npm install

npm start

```

Go to `http://localhost:3000`!

## Contribution

Welcome issue and pull request.

## License

MIT

## Author

Doarakko