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Name: xuming
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Name: xuming
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在Kaggle比赛中的Featuretools指南
讯飞移动广告反欺诈算法竞赛
IJCAI18-阿里妈妈广告转化率预测代码(Rank29)
机器学习岗位常见面试题整理
该项目用于学习“利用python进行数据处理”这本书时代码练习的保存
2017 Global Data Challenge Hosted by JD Finance / JDD—2017京东金融全球数据探索者大赛 金融信贷需求预测
登录行为风险预测比赛源码
京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)
京东借贷需求预测
Java library and command-line application for converting Scikit-Learn pipelines to PMML
根据Kaggle信用评分数据集,尝试使用不同的特征选择和模型建立方式得到预测结果
用户预订售卖房型概率预测--top1
金融知识图谱构建
LendingClub 贷款数据分析,分析平台个人贷款业务特点、贷款客户特征、贷款违约影响因素,并构建贷款违约预测模型。
基于python3的银行信用评分卡模型
Tutorials on how to use pandas effectively to do data analysis
以撸代码的形式学习Python
李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes
从新浪财经、每经网、金融界、**证券网、证券时报网上,爬取上市公司(个股)的历史新闻文本数据进行文本分析、提取特征集,然后利用SVM、随机森林等分类器进行训练,最后对实施抓取的新闻数据进行分类预测
银行贷款模型
💖基于机器学习的贷中风险预测模型--江苏银行“随e融”杯--二等奖💖
用户贷款风险预测竞赛
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
关于机器学习的内容
机器学习项目
:speech_balloon: Machine Learning Course with Python:
国科大机器学习课程&机器学习笔记
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
机器学习的学习项目
机器学习训练营:算法模型实例和项目实践
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.