hendryliu/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
Developer Profile
hendryliu
Discovered public repositories for hendryliu in the GitHub catalog.
hendryliu/Qix
Node.Js、Golang、Machine Learning、PostgreSQL、Deep Learning
hendryliu/DAT8
General Assembly's Data Science course in Washington, DC
hendryliu/DAT7
General Assembly's Data Science course in Washington, DC
hendryliu/DAT4
General Assembly's Data Science course in Washington, DC
hendryliu/DAT5
General Assembly's Data Science course in Washington, DC
hendryliu/DAT-project-examples
Example projects from General Assembly Data Science students
hendryliu/python-data-science-workshop
Workshop: Python for Data Science
hendryliu/python-data-analysis-workshop
Workshop: Intro to Python for Data Analysis
hendryliu/gadsdc2
class repo
hendryliu/gadsdc1
class repo
hendryliu/adv-r
Advanced R programming: a book
hendryliu/python-patterns
A collection of design patterns/idioms in Python
hendryliu/shiny-examples
Public repository.
hendryliu/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
hendryliu/Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
hendryliu/dev-setup
Easy-to-understand instructions with automated setup scripts to install and configure developer apps and tools, Python data analysis, Spark and Hadoop MapReduce, AWS and Heroku, JavaScript web development, Android development, common data stores, and dev-based defaults for Mac OSX. https://bit.ly/git-dotfiles
hendryliu/open-source-machine-learning-degree
Learn machine learning for free, because free is better than not-free.
hendryliu/python-guide
Python best practices guidebook, written for Humans.
hendryliu/go
The Open Source Data Science Masters
hendryliu/scipy2014_tutorial
Tutorial: Bayesian Statistical Analysis in Python
hendryliu/awesome
A curated list of awesome lists
hendryliu/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
hendryliu/data-science-ipython-notebooks
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
hendryliu/ConvNet
Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.
hendryliu/High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
hendryliu/pyauto
《python自动化运维：技术与最佳实践》书中示例及案例源码
hendryliu/DAT3-students
Student work for General Assembly's Data Science course in Washington, DC
hendryliu/DAT3
General Assembly's Data Science course in Washington, DC
hendryliu/statsintro
Introduction to Statistics
hendryliu/FourierTalkOSCON
Presentation Materials for my "Sound Analysis with the Fourier Transform and Python" OSCON Talk.
hendryliu/mlclass
Python code for Machine Learning course from Coursera
hendryliu/Getting-and-Cleaning-Data-Course-Project
Public repository.
hendryliu/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
hendryliu/DataScienceSpCourseNotes
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
hendryliu/datasharing
The Leek group guide to data sharing
hendryliu/datasciencecoursera
This is for data science coursera
hendryliu/boussinesq
A mass-conservative method for the integration of the two-dimensional groundwater (Boussinesq) equation