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amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

azure-sdk-for-python

Microsoft Azure SDK for Python

cs100.1x

BerkeleyX CS100.1x "Introduction to Big Data with Apache Spark"

ctci

Cracking the Coding Interview

cuckoofilter

data-science-at-the-command-line

Data Science at the Command Line

data-science-toolbox

Start doing data science in minutes

database_cleaner

Strategies for cleaning databases in Ruby. Can be used to ensure a clean state for testing.

dirichlet-process

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

draft-ietf-ppm-dap

This document describes the Distributed Aggregation Protocol (DAP) being developed by the PPM working group at IETF.

dsq

Distributed Streaming Quantiles (for PySpark)

easonchan1213.github.com

em_tossing_coins

An implementation of a classic Expectation-Maximization illustration

facebook-recruiting

Predict if an online bid is made by a machine or a human

ggplot

ggplot for python

ggplot2-tutorial

Quick introduction to ggplot2 (no knowledge of R assumed)

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

ipython-notebooks

A collection of IPython notebooks covering various topics.

java-bloomfilter

A stand-alone Bloom filter implementation written in Java

kafka-python

Python client for Apache Kafka

lda_recengine

An implementation of LDA-based Recommender System

leetcode-sol-res

Clean, Understandable Solutions and Resources for LeetCode Online Judge Algorithms Problems.

mahout_hbase_in_pyspark

this code snippet shows how to use mahout's spark-itemsimilarity API and build item-based recommender engine in pyspark

minhash

Clustering using MinHash technique

mldm-python

Repo for MLDM python code

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pyldavis

Python library for interactive topic model visualization. Port of the R LDAvis package.

python-bloomfilter

Scalable Bloom Filter implemented in Python