Data Science related links. Python, R, Spark

Data Science journals

  1. 1 Journal of Machine Learning Research 14

IPython notebooks

  1. 1 Probabilistic and Bayesian 17
  2. 2 Learn Data Science 12
  3. 3 XKCD plots in Matplotlib 5
  4. 4 Mining the Social Web 10
  5. 5 A gallery of interesting IPython Notebooks 6
  6. 6 Parallel Machine Learning 5
  7. 7 538 Election Forecasting Model 6
  8. 8 Six Degrees of Kevin Bacon 4

Blogs & News

  1. 1 DataTau 13
  2. 2 Kdnuggets.com 6
  3. 3 FiveThirtyEight 6
  4. 4 R-bloggers 3
  5. 5 Analytics Community 4
  6. 6 dataists 6
  7. 7 Reddit - Data is beautiful 0

Python Tools

  1. 1 Python reg expr editor 9

Python Documentation

  1. 1 Python Regular Expressions  |  Python Education  |  Google Developers 1
  2. 2 RE object 1
  3. 3 Python Anaconda 3

Apache Spark

  1. 1 Spark Summit 2015 training 4
  2. 2 Package PySpark 4

Coursera

  1. 1 Data Science Specialization 5
  2. 2 Data Science Notes 7

Datasets

  1. 1 Datasets collection form Kdnuggets 7
  2. 2 Find, Use and Share Numerical Data 3
  3. 3 Awesome Public Datasets on GitHub 5
  4. 4 Thousands of Public Data Sources 8
  5. 5 https://networkdata.ics.uci.edu/index.php 2
  6. 6 Stanford Large Network Dataset Collection 3
  7. 7 Free GIS data from Mapping Hacks 2

NLP

  1. 1 The Stanford NLP 8

Deep Learning

  1. 1 Domain Error 10
  2. 2 Neural networks and deep learning book 6
  3. 3 Deep Learning 6
  4. 4 Neural Networks for Machine Learning 7
  5. 5 DeepDream - example code 5
  6. 6 Going Deeper into Neural Networks 4
  7. 7 Caffe - DeepLearning framework 2

Data Mining

  1. 1 Data Mining Course 17

NLP tools

  1. 1 Meta Toolkit 5
  2. 2 NLTK 2
  3. 3 word2vec 1

Books

  1. 1 16 Free Data Science Books 24

Cheatsheets

  1. 1 Probability Cheatsheet 7
  2. 2 ggplot2 4
  3. 3 R package development 3
  4. 4 data wrangling in R 5
  5. 5 R Markdown 3

DataScience competitions

  1. 1 Kaggle 2
  2. 2 CrowdANALYTIX 0
  3. 3 Numerai 0
  4. 4 Topcoder 0
  5. 5 DrivenData 0

Theory

  1. 1 Bayes Theorem 4
  2. 2 An Intuitive Explanation of Bayes’ Theorem 7

R - tips

  1. 1 Github 7

R - packages

  1. 1 Package dplyr 2
  2. 2 Package plyr 2
  3. 3 Package twitteR 2
  4. 4 Package lubridate 2

Machine Learning

  1. 1 scikit-learn videos 0
  2. 2 copper - machine learning framework 0

Other usefull links

  1. 1 Desmos 0
  2. 2 Flowchart Maker & Online Diagram Software 0

Data Scrapping / Crawlers

  1. 1 Scrapinghub.com 0
  2. 2 Scrapy 0
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