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课程项目论文/Class Projects

[EN]1.“人工智能”期末大作业论文/Report of Final Project for the Introduction to Artificial Intelligence:AI_final_report.pdf, 2019.6

关于五子棋Gomoku AI的算法介绍和实现过程。

The project is to realize an AI agency for Gomoku games. I worked with a teammate Baichuan Liu, and our agency ranked No.1 in the class competition.

[CN]2.“数据挖掘”期末项目论文/Slides of Final Project for Data Mining:DataMining_finalPJ_report.pdf, 2019.6

采用北京市Airbnb的住房和评价数据,进行描述分析和统计建模,尝试了一些有监督和无监督的统计学习模型。

I led the team Automatic Excavator to conduct descriptive analysis and apply data mining models on the set of Beijing's rental data from Airbnb.

[CN]3.”金融经济大数据挖掘“期末项目论文/Report of Final Project for Data Mining in Finance and Economics:FBD_finalPJ.pdf, 2019.6

尝试利用多个统计模型和神经网络模型对缺失的燃煤数据进行补全。

Applied statistical models and neural network to fill missing data.

[CN]4.“金融经济大数据挖掘”期中项目论文/Slides of Midterm Project for Data Mining in Finance and Economics:FBD_midtermPJ.pdf, 2019.4

探索了利用 Google Trends 作为情绪指标加入ARIMAX模型,对经济数据如特斯拉销量,进行预测。

Added Google Trends index into ARIMAX model to predict trendency of Tesla sales.

[CN]5.万商项目组,客户流失预警模型(已脱敏)/Sample Slides of Project in Winsunion Technology:AlarmingModel.pdf, 2019.4

利用大量商户基本信息数据和交易流水数据,对商户进行画像,并尝试建立统计模型对可能流失的商户进行预警。

Drawn portraits of merchants about their credit and activity based on statistical modeling using billions of transaction data.

[EN]6.“机器学习”期末项目论文/Report of Final Project for the Introduction to Statistical Learning and Machine Learning:slml-final.pdf, 2019.1

探索了实现 One Shot Learning 的两种方法。

Researched on two methods for one shot learning, a computer vision problem。

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