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Name: Hao Zhang
Type: User
Location: New York, New York
Name: Hao Zhang
Type: User
Location: New York, New York
code for Data Science From Scratch book
Data science interview questions with answers. Not ideally (yet)
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A repo for data science related questions and answers
my solutions to the exercises in book Data Structures and Algorithms in Python
"Data Structures and Algorithms in Python" is designed to provide an introduction to data structures and algorithms, including their design, analysis, and implementation. The authors take advantage of the beauty and simplicity of Python to present executable source code that is clear and concise. Furthermore, a consistent object-oriented viewpoint is retained throughout the book, including the use of inheritance, both to maximize code reuse and to draw attention to the clear similarities and differences of various abstract data types and algorithmic approaches.
Data structures reimplemented in JavaScript
This is my repository for Data Structures using Python
The Data Transfer Project makes it easy for people to transfer their data between online service providers. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.
Data Science Portfolio completed both in the academia and for self-learning.
Author: Yangang Chen. Here are my submissions for the course projects for Data Science Specialization. To learn more about Data Science Specialization, please visit https://www.coursera.org/specializations/jhu-data-science
Data structures that allow missing values
High Performance Python Data driven programming framework for Web Crawler,ETL,Data pipeline work
Tutorials for DataCamp (www.datacamp.com)
data iap class repo
A collection of popular Data Science Competitions
A Python library for introductory data science
keep track of data science resources that I like
common data analysis and machine learning tasks using python
Open Source Data Science Resources.
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
http://DataScienceSpecialization.github.io
All codes from the DataWhatNow blog.
Derivatives Analytics with Python (Wiley Finance)
30 VR Projects In 30 Days. https://risonsimon.com/days-in-vr/
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.