CCF2018 数据挖掘 机器学习 智能匹配 特征工程
☆50Sep 27, 2019Updated 6 years ago
Alternatives and similar repositories for CCF-2018-TeleCOM
Users that are interested in CCF-2018-TeleCOM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 通过Featuretools自动特征工程预测贷款偿还☆20Jan 10, 2020Updated 6 years ago
- 新网银行杯Top1方案☆23Dec 16, 2018Updated 7 years ago
- 天池比赛:津南数字制造算法挑战赛【赛场一】初赛 17 名 Drop 队代码☆27Mar 23, 2019Updated 7 years ago
- 面向电信行业存量用户的智能套餐个性化匹配模型 (XGBoost 0.8254)☆30Sep 14, 2018Updated 7 years ago
- 机器学习实战☆12Apr 17, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- CIKM 2019 EComm AI:用户行为预测数据挖掘竞赛,第一次做推荐系统相关的比赛,犯了很多错误,没有进复赛☆13Mar 25, 2023Updated 3 years ago
- Vue.js app server-side rendered with Hapi.js☆12Dec 6, 2022Updated 3 years ago
- simple, customizable logger for node☆11Jan 5, 2016Updated 10 years ago
- Async Redux Testing Middleware☆11Mar 15, 2022Updated 4 years ago
- Experiments codes for WSDM '24 paper "MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems"☆11May 31, 2024Updated 2 years ago
- Contains the source code for a simple Linux driver for the DHT22 temperature and humidity sensor☆14Jan 19, 2017Updated 9 years ago
- Leetcode & 剑指offer 解题☆15Apr 27, 2022Updated 4 years ago
- 这是BDCI2018的联通赛题第一名解决方案☆299Nov 23, 2018Updated 7 years ago
- 讯飞移动广告反欺诈算法竞赛☆33Nov 1, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- naive bayesian java demo☆11Aug 30, 2013Updated 12 years ago
- spark MLlib机器学习实践源码☆10Oct 28, 2016Updated 9 years ago
- springboot2 + mybatis-plus3 +shiro1.4 +layui细颗粒度网站后台用户权限管理系统☆12Sep 4, 2018Updated 7 years ago
- 整理所有特征工程用到的方法,为了复用☆11Jan 11, 2021Updated 5 years ago
- 机器学习预测模型,分别用逻辑回归,决策树,随机森林,神经网络,XGBOOST和支持向量机算法建模,交叉验证,并选出AUC最优的模型。特征工程优化后,AUC值达到0.8259☆58Mar 26, 2020Updated 6 years ago
- 2016年课程设计:人事管理系统(荆超等11人)☆10Jul 13, 2016Updated 9 years ago
- app for 百人一首☆11Jul 25, 2025Updated 10 months ago
- IJCAI18-阿里妈妈广告转化率预测代码(Rank29)☆100Jul 24, 2018Updated 7 years ago
- Qwen1.5大模型微调、基于PEFT框架LoRA微调,在数据集HC3-Chinese上实现文本分类。☆12Jun 29, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- python-segment是一个纯python实现的分词库,他的目标是提供一个可用的,完善的分词系统和训练环境,包括一个可用的词典。☆16May 23, 2013Updated 13 years ago
- 消费者人群画像-信用智能评估Top1☆21Apr 23, 2020Updated 6 years ago
- 一个基于Kubernetes1.15 + Istio1.5 + SpringBoot2.x + Spring Data Jpa + Hibernate + MySQL的多租户(数据库隔离方式)应用☆12Mar 31, 2021Updated 5 years ago
- Machine Learning-Based Malicious Application Detecting using Low-level Architectural Features☆11Jun 22, 2019Updated 6 years ago
- 支持电子书上传下载,以及评论推荐等功能。第一版已基本完成☆10Jun 16, 2018Updated 8 years ago
- 招商银行第二届fintech-财经新闻分析baseline(线上第1名)☆39Aug 13, 2018Updated 7 years ago
- ☆10Oct 29, 2020Updated 5 years ago
- This repository stores all projects I've done as Telerik Software Academy student☆13Dec 28, 2014Updated 11 years ago
- ProxyExplainer for Graph Neural Networks☆16Oct 24, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆15Apr 22, 2020Updated 6 years ago
- Shunting Yard Infix-to-Postfix Parser☆11Apr 1, 2015Updated 11 years ago
- code and data for Continuous-Time Graph Learning for Cascade Popularity Prediction, IJCAI 2023☆11Jul 3, 2023Updated 2 years ago
- CCF BDCI 2022比赛 返乡发展人群预测赛题 Baseline 数据挖掘(特征工程+集成学习)队伍排名39/2297☆13Mar 15, 2024Updated 2 years ago
- 机器学习和深度学习练习☆13Apr 24, 2019Updated 7 years ago
- 数据特征工程、各种机器学习回归模型、回归数据预处理☆44Jan 14, 2020Updated 6 years ago
- 本项目使用python对影响共享单车使用量的因素进行可视化分析,并使用lightGBM算法对已知条件下的共享单车使用量进行预测。其中为了选择最优模型,使用了k折交叉验证和网格搜索选择最优参数。☆10Jul 15, 2020Updated 5 years ago