Python数据挖掘入门与实战、带源码
本书作为数据挖掘入门读物，介绍了数据挖掘的基础知识、基本工具和实践方法，通过循序渐进地讲解算法，带你轻松踏上数据挖掘之旅。本书采用理论与实践相结合的方式，呈现了如何使用决策树和*森林算法预测美国职业篮球联赛比赛结果，如何使用亲和性分析方法推荐电影，如何使用朴素贝叶斯算法进行社会媒体挖掘，等等。本书也涉及神经网络、深度学习、大数据处理等内容。本书面向愿意学习和尝试数据挖掘的程序员。
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75.76KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 6","children":[{"title":"ch6_get_twitter.ipynb <span style='color:#111;'> 17.98KB </span>","children":null,"spread":false},{"title":"ch6_label_twitter.ipynb <span style='color:#111;'> 7.02KB </span>","children":null,"spread":false},{"title":"ch6_classify_twitter.ipynb <span style='color:#111;'> 5.43KB </span>","children":null,"spread":false},{"title":"replicable_dataset.json <span style='color:#111;'> 4.88KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter 10","children":[{"title":".ipynb_checkpoints","children":[{"title":"Chapter 10 Image creation 10_02.png-checkpoint.ipynb <span style='color:#111;'> 1.05MB </span>","children":null,"spread":false},{"title":"Chapter 10 (Cluster Types)-checkpoint.ipynb <span style='color:#111;'> 424.56KB </span>","children":null,"spread":false},{"title":"Chapter 10 Clusterer-checkpoint.ipynb <span style='color:#111;'> 63.25KB 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