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Python Backtesting library for trading strategies
Collection of algorithms and data structures
Cracking the Coding Interview 6th edition problems
A curated list of data science blogs
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. https://bit.ly/data-notes
Ways of doing Data Science Engineering and Machine Learning in R and Python
MIT Deep Learning Book in PDF format
Dive into Machine Learning with Python Jupyter notebook and scikit-learn
A list of helpful full-stack developer related questions you can use to interview potential candidates, test yourself or completely ignore.
A collection of IPython notebooks covering various topics.
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Example code from Learning Spark book
A practical example of Apache Spark using the StackExchange dataset and GitHub events API
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
Classical equations and diagrams in machine learning
Blog system for quant
IPython notebooks from the scikit-learn video series
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks
This repo is for demonstration purposes only.
System design interview for IT company
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
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.