Merge branch 'dev' of https://github.com/apachecn/kaggle into dev
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xuehuachunsheng
commit
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## 下载地址
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### 1.客户端安装(三种方式都可行)
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### 1.客户端安装(例如：Mac 三种方式都可行)
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> (一 客户端操作: https://desktop.github.com/
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> (一 客户端操作: https://desktop.github.com/ 【不推荐，程序员建议命令行】
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> (二 通过 homebrew 安装 git
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@ -109,6 +109,10 @@ jiangzl@jiangzhongliandeMacBook-Pro:~$
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<img src="../../static/images/docs/GitHub/ApacheCN-GitHub入门操作-Fork到PullRequests.png">
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</a>
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全局概况图(看不懂就多看几遍)
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> 一) fork apachecn/kaggle 项目
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# [Kaggle](https://www.kaggle.com) 入门操作指南
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## [注册](https://www.kaggle.com/?login=true)
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1. 首先注册账号
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2. 关联 GitHub 账号
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## [竞赛 - competitions](https://www.kaggle.com/competitions)
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* [选择 - All 和 Getting Started](https://www.kaggle.com/competitions?sortBy=deadline&group=all&page=1&pageSize=20&segment=gettingStarted)
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* [选择 - Digit Recognizer（数字识别器）](https://www.kaggle.com/c/digit-recognizer)
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* [阅读资料 - Digit Recognizer（数字识别器）](https://www.kaggle.com/c/digit-recognizer)
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**选择 版本框架 和 star 最高的 Kernels 编辑就行，然后模仿 [**数字识别**](/competitions/getting-started/digit-recognizer) 案例更新**
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## 项目规范(以：DigitRecognizer 为例)
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> 文档：结尾文件名为项目名.md
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* 案例：`competitions/getting-started/digit-recognizer.md`
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* 例如：数字识别，文档是属于 `competitions -> GettingStarted` 下面，所以创建 `competitions/getting-started` 存放文档就行
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> 图片：结尾文件名可自由定义
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* 案例：`static/images/comprtitions/getting-started/digit-recognizer/front_page.png`
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* 例如：数字识别，图片是属于 `competitions -> GettingStarted -> DigitRecognizer` 下面，所以创建 `competitions/getting-started/digit-recognizer` 存放文档的图片就行
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> 代码：结尾文件名可自由定义.py
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* 案例：`src/python/getting-started/digit-recognizer/dr_knn_pandas.py`
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* 例如：数字识别，代码只有 `竞赛` 有，所以直接创建 `getting-started/digit-recognizer` 存放代码就行
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* 要求（方法：完全解耦）
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1. 加载数据
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2. 预处理数据(可没)
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3. 训练模型
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4. 评估模型(可没)
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5. 导出数据
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* 标注python和编码格式
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```python
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#!/usr/bin/python
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# coding: utf-8
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```
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* 标注项目的描述
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```python
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'''
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Created on 2017-10-26
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Update on 2017-10-26
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Author: 【如果是个人】片刻
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Team: 【如果是团队】装逼从不退缩（张三、李四 等等）
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Github: https://github.com/apachecn/kaggle
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'''
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```
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> 数据：结尾文件名可自由定义
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* 输入：`datasets/getting-started/digit-recognizer/input/train.csv`
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* 输出：`datasets/getting-started/digit-recognizer/ouput/Result_sklearn_knn.csv`
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* 例如：数字识别，数据只有 `竞赛` 有，所以直接创建 `getting-started/digit-recognizer` 存放数据就行
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> 结果提交
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将数据的输出结果提交到项目的页面中
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<a href="https://www.kaggle.com/c/digit-recognizer/submit" target="_blank">
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<img src="../static/images/docs/kaggle-submit.jpg">
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</a>
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## docs目录（可忽略）
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`docs 目录存放的是 ApacheCN 整理的操作or说明文档，和 kaggle 网站内容没有关系`
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**后面会持续更新**
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