Pinned Repositories
A_Model_of_Risk_Control
关于评分卡的基本流程
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
iDataV
大屏数据可视化 Big screen data visualization demo
Virgilio
Your new Mentor for Data Science E-Learning.
100-Days-Of-ML-Code
100 Days of ML Coding
4th-place-Home-Credit-Default-Risk
Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition
AI_Risk
马上消费金融挑战者大赛-违约用户风险预测--第三名方案
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
ant-learn-pandas
pandas学习课程代码仓库
ATEC_Payment_Risk_Recognition_Competition
ATEC蚂蚁开发者大赛-风险大脑-支付风险识别
julyyg's Repositories
julyyg/julyyg
Config files for my GitHub profile.
julyyg/lianjia_spider
julyyg/effectivepython
Effective Python: Second Edition — Source Code and Errata for the Book
julyyg/echart
julyyg/python-cheatsheet
Comprehensive Python Cheatsheet
julyyg/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
julyyg/d3js_doc
D3js中文文档 D3中文 :bar_chart: :chart_with_upwards_trend: :tada:
julyyg/iDataV
大屏数据可视化 Big screen data visualization demo
julyyg/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
julyyg/ant-learn-pandas
pandas学习课程代码仓库
julyyg/toad
ESC Team's scorecard tools
julyyg/hyperopt-doc-zh
Github开源项目hyperopt系列的中文文档,以及学习教程等
julyyg/kaggle_utils
My utility scripts for Kaggle competitions
julyyg/transferlearning-tutorial
《迁移学习简明手册》LaTex源码
julyyg/models
Models and examples built with TensorFlow
julyyg/featuretools
An open source python library for automated feature engineering
julyyg/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
julyyg/hello-julyyg
julyyg/now
The easiest way to deploy websites
julyyg/MachineLP-CodeFun
MachineLP CodeFun
julyyg/Virgilio
Your new Mentor for Data Science E-Learning.
julyyg/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
julyyg/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
julyyg/AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
julyyg/fe4ml-zh
:book: [译] 面向机器学习的特征工程
julyyg/DeepLearning
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
julyyg/deeplearningbook-chinese
Deep Learning Book Chinese Translation
julyyg/combo
A Python Toolbox for Machine Learning Model Combination
julyyg/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
julyyg/IEEE-CIS-Fraud-Detection
IEEE-CIS-Fraud-Detection top 3源码、提交给主办方的write-up