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mlnd_capstone's Introduction

Udacity机器学习(进阶)毕业项目

选择的项目

自然语言处理-文档归类

数据获取

参考链接

开题

开题报告主要包括以下7个主题部分:

  • 项目背景:项目涉及的相关研究领域
  • 问题描述:解决办法所针对的具体问题
  • 输入数据:问题中涉及的数据或输入是什么
  • 解决办法:针对给定问题的解决方案
  • 基准模型:用来与你的解决方案进行比较的一些简单的、过去的模型或者结果
  • 评估指标:衡量你解决方案的标准
  • 设计大纲:你的解决方案如何实现,如何获取结果

项目报告

项目报告参考

新闻组文件分类(英文)

识别街景数字

文档分类

银行客户分类

环境安装

conda create -n mlnd_capstone python=3.6
activate mlnd_capstone
conda install pandas matplotlib jupyter notebook scipy scikit-learn

# for cpu
conda install tensorflow

# for gpu
conda install tensorflow-gpu

# use pip install to keep tensorflow package
pip install keras

conda install gensim nltk lime
# nltk data download
import nltk
nltk.download('punkt')
nltk.download('wordnet')

Glovec Glovec预训练词向量 Wikipedia 2014 + Gigaword 5

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