教程网盘下载地址：https://u18103887.ctfile.com/fs/18103887-335537484
教程目录：
第 1 章Python 机器学习的生态系统 ·········································1
1.1 数据科学/机器学习的工作流程 ········································2
1.1.1 获取 ······································································2
1.1.2 检查和探索 ·····························································2
1.1.3 清理和准备 ·····························································3
1.1.4 建模 ·······································································3
1.1.5 评估 ·······································································3
1.1.6 部署 ·······································································3
1.2 Python 库和功能 ··························································3
1.2.1 获取 ·······································································4
1.2.2 检查 ·······································································4
1.2.3 准备 ·····································································20
1.2.4 建模和评估 ····························································26
1.2.5 部署 ·····································································34
1.3 设置机器学习的环境 ····················································34
1.4 小结 ············································································34
第 2 章构建应用程序，发现低价的公寓 ···································35
2.1 获取公寓房源数据 ·························································36
使用 import.io 抓取房源数据 ·················································36
2.2 检查和准备数据 ·····························································38
2.2.1 分析数据 ·····································································46
2.2.2 可视化数据 ··································································50
2.3 对数据建模 ·····································································51
2.3.1 预测 ················································································54
2.3.2 扩展模型 ·········································································57
2.4 小结 ··················································································57
第 3 章构建应用程序，发现低价的机票 ··································58
3.1 获取机票价格数据 ·························································59
3.2 使用高级的网络爬虫技术检索票价数据 ·····························60
3.3 解析DOM 以提取定价数据 ··············································62
通过聚类技术识别异常的票价 ··············································66
3.4 使用IFTTT 发送实时提醒 ················································75
3.5 整合在一起 ·········································································78
3.6 小结 ··················································································82
第 4 章使用逻辑回归预测IPO 市场 ···········································83
4.1 IPO 市场 ········································································84
4.1.1 什么是 IPO ···································································84
4.1.2 近期 IPO 市场表现 ························································84
4.1.3 基本的 IPO 策略 ···························································93
4.2 特征工程············································································94
4.3 二元分类············································································103
4.4 特征的重要性 ·····································································108
4.5 小结 ················································································111
第 5 章创建自定义的新闻源 ·······················································112
5.1 使用 Pocket 应用程序，创建一个监督训练的集合 ················112
5.1.1 安装Pocket 的Chrome 扩展程序 ·····································113
5.1.2 使用Pocket API 来检索故事 ···············································114
5.2 使用 embed.ly API 下载故事的内容 ····································119
5.3 自然语言处理基础 ····························································120
5.4 支持向量机··········································································123
5.5 IFTTT 与文章源、Google 表单和电子邮件的集成 ·······················125
通过 IFTTT 设置新闻源和Google 表单 ········································125
5.6 设置你的每日个性化新闻简报 ··············································133
5.7 小结 ················································································137
第 6 章预测你的内容是否会广为流传 ··········································138
6.1 关于病毒性，研究告诉我们了些什么 ······································139
6.2 获取分享的数量和内容 ·························································140
6.3 探索传播性的特征 ································································149
6.3.1 探索图像数据 ····································································149
6.3.2 探索标题 ··········································································152
6.3.3 探索故事的内容 ································································156
6.4 构建内容评分的预测模型 ··················································157
6.5 小结 ·················································································162
第 7 章使用机器学习预测股票市场 ···············································163
7.1 市场分析的类型 ··································································164
7.2 关于股票市场，研究告诉我们些什么 ········································165
7.3 如何开发一个交易策略 ·························································166
7.3.1 延长我们的分析周期 ····························································172
7.3.2 使用支持向量回归，构建我们的模型 ······································175
7.3.3 建模与动态时间扭曲································································182
7.4 小结 ·······················································································186
第 8 章建立图像相似度的引擎 ··························································187
8.1 图像的机器学习 ············································································188
8.2 处理图像 ·····················································································189
8.3 查找相似的图像 ···································································191
8.4 了解深度学习 ········································································195
8.5 构建图像相似度的引擎 ···························································198
8.6 小结 ···························································································206
第 9 章打造聊天机器人 ······································································207
9.1 图灵测试 ·····················································································207
9.2 聊天机器人的历史 ············································································208
9.3 聊天机器人的设计 ·········································································212
9.4 打造一个聊天机器人 ······································································217
9.5 小结 ·······························································································227
第 10 章构建推荐引擎 ·············································································228
10.1 协同过滤 ·························································································229
10.1.1 基于用户的过滤 ··············································································230
10.1.2 基于项目的过滤 ··············································································233
10.2 基于内容的过滤 ·················································································236
10.3 混合系统 ··························································································237
10.4 构建推荐引擎 ············································································238
10.5 小结 ··························································································251