https://github.com/daniel-m-campos/kaggles

Repo for Kaggle competitions
https://github.com/daniel-m-campos/kaggles

Last synced: about 22 hours ago
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Repo for Kaggle competitions

• Host: GitHub
• URL: https://github.com/daniel-m-campos/kaggles
• Owner: daniel-m-campos
• Created: 2024-02-27T03:22:32.000Z (9 months ago)
• Default Branch: master
• Last Pushed: 2024-03-12T20:10:53.000Z (8 months ago)
• Last Synced: 2024-03-12T21:27:16.508Z (8 months ago)
• Language: Jupyter Notebook
• Size: 78.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Kaggles

A collection of Kaggle competitions I have participated in.

# Usage

## 1. Create Virtual Environment

```bash

script/create_venv.sh

```

## 2. Create Competition Directory

```bash

cd kaggles

mkdir -p /kernels

```

## 3. Download Competition Data

```bash

script/download_data.sh

```

## 4. Pull Competition Kernels

```bash

script/pull_kernels.sh 

```

## 5. Push Competition Kernels

```bash

kaggle k push -p /kernels/

```

# Utility Scripts

Kaggle supports [utility scripts](https://www.kaggle.com/discussions/product-feedback/91185) to help avoid code duplication but they can be a little tricky to set up with a repo. This is how it's done here:

1. Create a new kernel and add the utility code to it. E.g. `home-data-for-ml-course/src/`

1. Push the kernel to Kaggle. `kaggle k push -p home-data-for-ml-course/src/`

1. Go to Kaggle, open the utility kernel with the editor and click `File -> Set as utility script`.

1. For kernels that depend on the utility script, add the utility kernel to the `kernel_sources` list in the `kernel-metadata.json` file. E.g.

    ```json

    "kernel_sources": [

        "danielmcampos/house-price-utils"

    ],

    ```

    Alternatively,  click `File -> Add utility script` and select the utility script.