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Name: Wooky
Type: User
Company: Vaughn College of Aeronautics and Technology
Location: Flushing, NY
Name: Wooky
Type: User
Company: Vaughn College of Aeronautics and Technology
Location: Flushing, NY
A Naive Bayes spam/ham classifier based on Bayes' Theorem. A bunch of email subject is first used to train the classifier and then a previously unseen email subject is fed to predict whether it is Spam or Ham.
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Globally and Locally Consistent Image Completion
jupyter blog
The source code for 'Data Structures and Algorithms in Python' by Goodrich, Tamassia, Goldwasser
Hadoop 2.x Administration Cookbook, published by Packt
Source code to accompany the book "Hadoop in Practice", published by Manning.
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
An implementation of a real-world map-reduce workflow in each major framework.
Updated samples for the Hadoop in Action title from Manning.
Python implementation of k-means clustering algorithm in MapReduce.
Source code that accompanies the book "Hadoop in Practice, Second Edition".
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Contains data and code used to create bokeh application of world obesity choropleth map
Example code for a mapreduce job which generates an inverted index
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Build a Jekyll blog in minutes, without touching the command line.
Notebooks for JHU EN 601.320/420/620
This project uses a sequence to sequence model of the recurrent neural network to translate any piece of English text to French. I have used recurrent nets because while training on huge data, recurrent nets actually predict the outcome a lot better than any normal machine learning models. In this specific model, the data first passes through an encoder, comes out as an understanding and passes to a decoder. The decoder generates the output.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Lecture notes and assignments for coursera machine learning class
Korean translation of machine learning yearning book by Andrew Ng.
Hadoop Map-Reduce Design Patterns
Data-Intensive Text Processing with MapReduce
Mastering-Python-Design-Patterns-Second-Edition, published by Packt
Mahout in Action Example 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.