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Tutorials and training material for the H2O Machine Learning Platform
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Hadoop Data Integration with various databases, ftp servers, salesforce. Incremental update, dedup, append, merge your data on Hadoop.
Interactive Documents with R
Jupyter metapackage for installation, docs and chat
Rmd source files for the HarvardX series PH525x
Code repository for Learning PySpark by Packt
This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt
A book for the coursera statistical inference class
machine learning and deep learning tutorials, articles and other resources
A collection of machine learning examples and tutorials.
This project demonstrates how to use various big data open source technologies to analyze San Francisco Crime Data. This project illustrates the use of these technologies for educational purposes only.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Code accompanying the book "Machine Learning for Hackers"
Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course
Spark MOOC setup and labs for DBC users
Code samples for my book "Neural Networks and Deep Learning"
Machine Learning for OpenCV
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
A course in reinforcement learning in the wild
Repository for Programming Assignment 2 for R Programming on Coursera
Code used in "Pro Spark Streaming: The Zen of Real-time Analytics using Apache Spark" published by Apress Publishing.
PySpark-Tutorial provides basic algorithms using PySpark
Translation to PySpark of Dmitry Petrov's *Beginners Guide: Apache Spark Machine Learning with Large Data* from KDNuggets
Python Data Analysis Cookbook, published by Packt
Peer Assessment 1 for Reproducible Research
Interactive Maps from R
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.