Pinned Repositories
awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
BasicAlgo
budget-tracker
casino
compy
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
CrossSection
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
data-science-interviews
Data science interview questions and answers
Whole-Foods-Delivery-Slot
Automated script for Whole Foods and Amazon Fresh delivery slot
rikazry's Repositories
rikazry/BasicAlgo
rikazry/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
rikazry/data-science-interviews
Data science interview questions and answers
rikazry/Whole-Foods-Delivery-Slot
Automated script for Whole Foods and Amazon Fresh delivery slot
rikazry/awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
rikazry/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
rikazry/budget-tracker
rikazry/casino
rikazry/compy
rikazry/CrossSection
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
rikazry/DailyPlanner
rikazry/Data_Insights_Summit
This repository contains the course materials for the tutorial "Supercharge Your data Analysis with R"
rikazry/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
rikazry/effectivepython
Effective Python: Source Code and Errata for the Book
rikazry/efficientR
Efficient R programming: a book
rikazry/funplot
rikazry/go-finance
Flexible, simple financial markets data in Go.
rikazry/k8s-ml
rikazry/Machine_Learning_Resources
:fish::fish::fish: 机器学习面试复习资源
rikazry/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
rikazry/Notebooks
rikazry/notes-machine-learning
My Notes on Machine Learning
rikazry/pandas-tutorial
Material for the pandas tutorial at EuroScipy 2016
rikazry/pandas_exercises
Practice your pandas skills!
rikazry/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
rikazry/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
rikazry/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
rikazry/ShinyDeveloperConference
Materials collected from the First Shiny Developer Conference Palo Alto, CA January 30-31 2016
rikazry/spark-timeseries
A library for time series analysis on Apache Spark
rikazry/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.