fisher0530

fisher0530's Stars

• iLove9ou/cloud

  注册，绑定手机（短信验证码）、邮箱（邮箱验证码）成为会员 登陆，实名认证（人工审核／第三方接口），绑定银行卡（需check支持的银行卡类型） 借款申请，额度（下限1万，上限1000万）、还款方式、利率（日利率、月利率）、周期、还款账户、联系电话、抵押凭证（可选，例 房屋、豪车、个人公司、其他个人名下财产） 借款审核，系统初审（不良贷款记录、贷款上限、黑名单、贷款笔数最多同时贷5笔）、风控专员、电子合同专员、平台专员、银行系统。审核流程编辑与设定（可选，需要工作流比较熟悉）。 放款管理，开始放款，开始计息 还款管理，查询、详情（个人信息、贷款信息、还款记录、逾期记录、催收记录） 逾期管理，查询、详情（个人信息、贷款信息、还款记录、逾期记录、催收记录） 对账监控，每笔借款与还款总额（含利息、罚息）是否对应。若不对应，开启警告！ 系统设置，借款利率、逾期利率设定，逾期n天逾期，m天严重逾期，个人贷款上限、下限、最大笔数，催收短信模版，逾期短信通知模版，计息时间（T+0,T+1,T+n） 数据统计，放款总额，还款总额，申请总额，周期对比（周、月、年），折线、饼状图展现

  Language:Java10556

• zkywsg/Daily-DeepLearning

  🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

  Language:Jupyter Notebook609136

• BackyardofAbela/EnsembleLearning

  包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用

  Language:Jupyter Notebook274109

• ZhiningLiu1998/awesome-imbalanced-learning

  😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

  1.3k223

• FoolPepper/DataCastle-

  2018年10月到12月底，DataCastle和**电信甜橙金融联合举办，主旨为羊毛党预测与识别

  Language:Python51

• chawucirencc/Predicting-whether-a-telecommunications-company-is-losing-customers

  对电信公司的数据做出分析，特征可视化，建立模型预测未知客户是否为要流失的客户。

  Language:Python2513

• gutouyu/ML_CIA

  公众号: 机器学习荐货情报局 所有代码

  Language:Python548295

• Ambitioner-c/Haodf

  好大夫网站爬虫

  Language:Python91

• apachecn/nlp-pytorch-zh

  《Natural Language Processing with PyTorch》中文翻译

  Language:JavaScript717184

• nndl/exercise

  exercise for nndl

  Language:Jupyter Notebook3.2k1.4k

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.1k11.4k

• AimeeLee77/senti_analysis

  利用Python实现酒店评论的中文情感分析

  Language:Python777247

• mattzheng/LtpExtraction

  基于ltp的简单评论观点抽取模块

  Language:Jupyter Notebook11629

• ownthink/Jiagu

  Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

  Language:Python3.3k611

• GGL12/TextMining

  某电商手机评论的文本挖掘初体验 功能板块：数据预处理、LDA模型获取特征词、情感极性判断与程度计算、回归模型预测销量排序

  Language:Python10629

• data-infra/sklearn

  数据挖掘库sklearn的使用教程和demo

  Language:Python7766

• yourtion/DataminingGuideBook-Codes

  《面向程序员的数据挖掘指南》源码

  Language:Python13872

• LinXueyuanStdio/PythonDataMining

  :notebook_with_decorative_cover: 在学院的书架上发现了一本不带脑子就能读懂的书《Python数据挖掘与实战》

  Language:Jupyter Notebook626204

• wqw547243068/Python-learning

  好玩儿的Python：从数据挖掘到深度学习

  Language:Jupyter Notebook6127

• tangyudi/Ai-Learn

  人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

  9.5k2.2k

• robi56/Deep-Learning-for-Recommendation-Systems

  This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

  2.8k700

• wzhe06/Reco-papers

  Classic papers and resources on recommendation

  Language:Python3.3k803

• lyst/lightfm

  A Python implementation of LightFM, a hybrid recommendation algorithm.

  Language:Python4.7k687

• weiweifan/Big-Data-Resources

  大数据/数据挖掘/推荐系统/机器学习相关资源

  1.4k972

• rootlu/RHINE

  Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"

  Language:Python5514

• phamtheanhphu/Restricted_MetaPath

  Topic-driven restricted-metapath for similarity measurement in HINs

  Language:Python4

• xiangwang1223/knowledge_graph_attention_network

  KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

  Language:Python1.1k310

• surajnakka/graph-data-analysis

  Worked with a number of real-world datasets available at http://snap.stanford.edu/ to identify the importance of certain nodes in terms of their degree, betweenness, closeness centralities and clustering co-efficient. • Studied the different random graph generator models to identify the best synthetic random graph generator that reflects real-world datasets better and experimented it with the large social networking sites such as Facebook. • Visualized the graphs using tools such as Gephi, Cystoscape and GraphViz and experimented with different layouts to identify the best visualization layout that distinguishes the critical characteristics of the network.

  Language:Python113

• LeGoffLoic/Nodz

  Nodz : Visualize your data - Free nodes based graph generator.

  Language:Python414110

• keon/algorithms

  Minimal examples of data structures and algorithms in Python

  Language:Python23.9k4.6k