# BirdRecognition

**Repository Path**: zouchengyao/BirdRecognition

## Basic Information

- **Project Name**: BirdRecognition
- **Description**: https://www.kaggle.com/c/birdsong-recognition
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-07-18
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## BirdRecognition
This is the repository for the Kaggle project - [Cornell Birdcall Identification](https://www.kaggle.com/c/birdsong-recognition)


**Usage:** 
- place your */birdsong-recognition* (downloaded & unzipped from Kaggle) since it will be gitignored by default.
  
- It should look like this:
  <!-- ![avantar](img/structure/repo_struct1.png) -->
```
.
├── README.md
├── img # 图片
│   ├── flowchart.svg
│   └── structure
├── input # 输入
│   └── birdsong-recognition #数据文件夹
├── reference.md
├── src # 源文件
│   ├── Birdcall Extensive EDA + Simple RFC Submission.ipynb
│   ├── Data_EDA.ipynb
│   ├── baseline.ipynb
│   ├── demo.mp3
│   ├── model1.ipynb
│   ├── submission.csv
│   └── submission1.csv
└── temp # 缓存
    └── temp.wav
```
#### Flowchart
![flowchart](img/flowchart.svg)


#### Methods

- **Method 1: Machine Learning (sklearn-based)**
  - Source File:  *baseline.ipynb*
    - This method uses the traditional statistical ways to analyse the relations and do predictions.
  - It could take +1 hr for the baseline model to be processed.