# DataCon

**Repository Path**: yhangf/DataCon

## Basic Information

- **Project Name**: DataCon
- **Description**: :trophy:DataCon大数据安全分析大赛方向二冠军源码
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-12-06
- **Last Updated**: 2020-12-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# <p align="center">DataCon:beers:</p>

```shell
                                                                        _   .-')
                                                                       ( '.( OO )_
                                     ,--.      .-'),-----.  .-'),-----. ,--.   ,--.)
                                     |  |.-') ( OO'  .-.  '( OO'  .-.  '|   `.'   |
                                     |  | OO )/   |  | |  |/   |  | |  ||         |
                                     |  |`-' |\_) |  |\|  |\_) |  |\|  ||  |'.'|  |
                                    (|  '---.'  \ |  | |  |  \ |  | |  ||  |   |  |
                                     |      |    `'  '-'  '   `'  '-'  '|  |   |  |
                                     `------'      `-----'      `-----' `--'   `--'
```
> [DataCon大数据安全分析大赛](https://www.butian.net/datacon)方向二冠军方案:rose::rose:，详细思路分享见[知乎](https://zhuanlan.zhihu.com/p/64252076)，由于比赛时间仓促代码写得比较混乱，还请各位读者多多见谅！

### 综合积分榜排名（部分）

![](https://gitee.com/yhangf/DataCon/blob/master/useful/rank.png)

### 源码

#### stage1

- [[deep_learning_model.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/deep_learning_model.ipynb)]
- [[call_pid_tfidf_stacking.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/call_pid_tfidf_stacking.ipynb)]
- [[exinfos.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/exinfos.ipynb)]
- [[explore.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/explore.ipynb)]
- [[feature_engineering.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/feature_engineering.ipynb)]
- [[new_feature_engineering.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/new_feature_engineering.ipynb)]
- [[out_of_fold.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/out_of_fold.ipynb)]
- [[ret_value_stacking.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/ret_value_stacking.ipynb)]
- [[stacking.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/stacking.ipynb)]
- [[test.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage1/test.ipynb)]

#### stage2

- [[feature_engineering.ipynb](https://nbviewer.jupyter.org/github/yhangf/DataCon/blob/master/code/stage2/feature_engineering.ipynb)]
- [[for_cluster_kmeans.py](https://github.com/yhangf/DataCon/blob/master/code/stage2/for_cluster_kmeans.py)]
- [[get_call_name_tfidf_features.py](https://github.com/yhangf/DataCon/blob/master/code/stage2/get_call_name_tfidf_features.py)]
- [[plot_comparison.py](https://github.com/yhangf/DataCon/blob/master/code/stage2/plot_comparison.py)]
- [[yield_call_name_api_name_exinfos_tsne.py](https://github.com/yhangf/DataCon/blob/master/code/stage2/yield_call_name_api_name_exinfos_tsne.py)]
- [[DBSCAN.py](https://github.com/yhangf/DataCon/blob/master/code/stage2/DBSCAN.py)]