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dataminingexercises's Introduction

大量在网络的学习 + 对特定数据的处理 + 对结果的展示 = 本仓库内容

亮点: 每个算法分别用discrete和continuous样本数据(离散样本与连续样本)进行实践操作

本仓库内容包含对以下三种DM算法的实现(所用数据附在文件夹中):

  1. Decision Tree - gini index
  2. Naive Bayesian Classification
  3. Artificial Neural Network

本仓库文件夹的设置:

A. 实践直接调用Python包； B. 实践需采用Python语言编程实现； C. 仅限ANN算法,Choice量化接口调用Choice数据库中金融时序数据,完成某种金融产品的价格预测。 D. 自由发挥,Choice量化接口.

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