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anatomyofmatplotlib

Anatomy of Matplotlib Tutorial originally developed for SciPy 2013

apache-kafka-book-examples

Fixed and updated code examples from the book "Apache Kafka"

apache-kafka-examples

Apache Kafka Examples, Tutorials

apache-kafka-poc

apache-kafka-tutorials

Apache Kafka 0.9 Java Client API Example

apache-spark-projects

awesome-public-datasets

A awesome list of (large-scale) public datasets on the Internet. (On-going collection)

awesome-spark

A curated list of awesome Apache Spark packages and resources.

blockchainwtb

Follow up from online Blockchain With The Best Conf June 11th 2016

blog-spark-food-recommendation

Simple example on how to use recommenders in Spark / MLlib

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

code

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

courses-1

fast.ai Courses

credit-card-fraud-detection-spark

A real time streaming implementation of markov chain based fraud detection

dat7

General Assembly's Data Science course in Washington, DC

data-algorithms-book

MapReduce, Spark, Java, and Scala for Data Algorithms Book

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-ingestion-platform-flink

data-science-fundamentals

This repository contains the exercises and data for Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-scientists-guide-apache-spark

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

dataanalysis

The lecture slides for Coursera's Data Analysis class

databricks-spark-training

datasciencecoursera

Learnings from the Data Science Course in Coursera

datasets

datasharing

The Leek group guide to data sharing

dataweek-workshop

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deeplearningdocker

My custom Image for Quick setup of Deep Learning Libraries in Python on any machine.