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The malware industry continues to be a well-organized, well-funded market dedicated to evading traditional security measures. Once a computer is infected by malware, criminals can hurt consumers and enterprises in many ways. With more than one billion enterprise and consumer customers, Microsoft takes this problem very seriously and is deeply invested in improving security. As one part of their overall strategy for doing so, Microsoft is challenging the data science community to develop techniques to predict if a machine will soon be hit with malware. As with their previous, Malware Challenge (2015), Microsoft is providing Kagglers with an unprecedented malware dataset to encourage open-source progress on effective techniques for predicting malware occurrences. Can you help protect more than one billion machines from damage BEFORE it happens

Data Source https://www.kaggle.com/c/microsoft-malware-prediction/data or 链接：https://pan.baidu.com/s/1NVXWu70Sw3OLjhtLW1uMiQ 提取码：mb5y

Introduction

特征工程

数据预处理

数据清洗

属性选择

数据规约

模型建立

使用到的模型

ANN

GAN

##主要成果

1. 数据预处理阶段

2. 问题建模阶段

3. 大量数据处理

4. 生成对抗网络数据增强阶段