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Description: Open Source Data Science Resources. Contribute to datahacking/DataScienceResources development by creating an account on GitHub.

Open Graph Description: Open Source Data Science Resources. Contribute to datahacking/DataScienceResources development by creating an account on GitHub.

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About Mehttps://patch-diff.githubusercontent.com/datahacking/DataScienceResources#about-me
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-science-getting-started
Drew Conway's venn diagramhttp://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#starting
Data Science Pipelinehttp://machinelearningmastery.com/wp-content/uploads/2014/05/Overview-of-the-Applied-Machine-Learning-Process.png
Intro to ipythonhttps://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks/_edit#entire-books-or-other-large-collections-of-notebooks-on-a-topic
How do I Become a Data Scientist?http://www.quora.com/How-do-I-become-a-data-scientist
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-science-courses
Courserahttps://www.coursera.org/specialization/jhudatascience/1
Udacityhttps://www.udacity.com/courses#!/data-science
Data Science Bootcampshttp://yet-another-data-blog.blogspot.com/2014/04/data-science-bootcamp-landscape-full.html
Coursera Machine Learning Coursehttps://www.coursera.org/course/ml
Edxhttps://www.edx.org/course/mitx/mitx-6-00-2x-introduction-computational-2836#.VEANx9TF-tw
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-pipeline--tools
Python @ Codecademyhttp://www.codecademy.com/en/tracks/python
The Python Wikihttps://wiki.python.org/moin/FrontPage
Python for Data Science Tutorial - Kagglehttps://www.kaggle.com/wiki/GettingStartedWithPythonForDataScience
Introduction to Data Processing with Pythonhttp://opentechschool.github.io/python-data-intro/
Git tutorialhttps://try.github.io/levels/1/challenges/1
Pandashttp://pandas.pydata.org/
Numpy/Pandas/Scipy Cheatsheethttps://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf
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NumPyhttp://www.numpy.org/
StatsModelshttp://statsmodels.sourceforge.net/
PyMChttps://pypi.python.org/pypi/pymc
Probalistic Programming and Bayesian Methods for Hackershttps://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
The only probability Cheatsheet you'll ever needhttps://bayesrule.files.wordpress.com/2014/07/probability_cheatsheet_140718.pdf
http://datastories.quora.com/http://datastories.quora.com/
BeautifulSouphttp://www.crummy.com/software/BeautifulSoup/
Beautiful Soup Cheat Sheethttp://youkilljohnny.blogspot.com/2014/03/beautifulsoup-cheat-sheet-parse-html-by.html
Requestshttp://docs.python-requests.org/en/latest/
Unix for Processinghttp://www.theunixschool.com/p/awk-sed.html
Pandashttp://pandas.pydata.org/
SciKit Learn for Preprocessinghttp://scikit-learn.org/stable/modules/preprocessing.html#preprocessing
Regular Expressionshttp://www.zytrax.com/tech/web/regex.htm
SQLhttp://www.postgresql.org/
Psycopghttp://initd.org/psycopg/
SQL Cheet Sheethttp://www.sql-tutorial.net/sql-cheat-sheet.pdf
SQLZoohttp://sqlzoo.net/wiki/Main_Page
SQLSchoolhttp://sqlschool.modeanalytics.com/
MongoDBhttp://www.mongodb.org/
PyMongohttp://api.mongodb.org/python/current/tutorial.html
MongoDB - cheatsheethttps://blog.codecentric.de/files/2012/12/MongoDB-CheatSheet-v1_0.pdf
Apache Hivehttps://hive.apache.org/
Hive Cheatsheethttp://hortonworks.com/wp-content/uploads/downloads/2013/08/Hortonworks.CheatSheet.SQLtoHive.pdf
ElasticSearchhttp://www.elasticsearch.org/
Neo4jhttp://www.neo4j.org/
Redishttp://redis.io/
Redshifthttp://aws.amazon.com/redshift/
Hadoop - the definitive guidehttp://ce.sysu.edu.cn/hope/UploadFiles/Education/2011/10/201110221516245419.pdf
Sparkhttps://spark.apache.org/
SciKit-Learnhttp://scikit-learn.org/stable/
NLTKhttp://www.nltk.org/
Tour of Machine Learning Algorithmshttp://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/
VIDEO - How to get started w/mLhttps://www.youtube.com/watch?v=uBorfxosVYs
Some ML methods classifiedhttp://nyghtowlblog.files.wordpress.com/2014/04/ml_algorithms.png?w=535&h=311
SciKit-imagehttp://scikit-image.org/
Deeplearning4jhttp://deeplearning4j.org/
Machine Learning CheatSheethttps://github.com/soulmachine/machine-learning-cheat-sheet
SciKit Learn Flow Chart for Model Selectionhttp://scikit-learn.org/stable/tutorial/machine_learning_map/index.html
Evaluating ML Algorithmshttp://machinelearningmastery.com/how-to-evaluate-machine-learning-algorithms/
Cross-Validationhttp://robjhyndman.com/hyndsight/crossvalidation/
K-fold & Grid Search in Scikitlearnhttp://randomforests.wordpress.com/2014/02/02/basics-of-k-fold-cross-validation-and-gridsearchcv-in-scikit-learn/
Scikit-learn Cross Validation dochttp://scikit-learn.org/stable/modules/cross_validation.html
Ipython Notebook for Feature engineeringhttp://nbviewer.ipython.org/urls/raw2.github.com/yhat/DataGotham2013/master/notebooks/7%20-%20Feature%20Engineering.ipynb?create=1
CS Princeton Coursehttp://www.cs.princeton.edu/courses/archive/spring10/cos424/slides/18-feat.pdf
Blog Post about Feature Engineering / Data Explorationhttp://deblivingdata.net/machine-learning-tricks/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#additional-tools-or-processes
A/B Testinghttp://conversionxl.com/how-to-build-a-strong-ab-testing-plan-that-gets-results/#.
A/B Testinghttp://unbounce.com/a-b-testing/5-ways-youre-screwing-up-your-a-b-testing/
Bloom Filtershttp://nbviewer.ipython.org/github/ctb/2013-pycon-awesome-big-data-algorithms/blob/master/04-bloom-filters.ipynb
Bloom filtershttp://billmill.org/bloomfilter-tutorial/
Reservoir Samplinghttp://blog.cloudera.com/blog/2013/04/hadoop-stratified-randosampling-algorithm/
Reservoir Sampling Againhttp://www.geeksforgeeks.org/reservoir-sampling/
Monte Carlo for the Monty Hall Problemhttp://slantedwindows.com/monty-hall-meet-mr-monte-carlo/
Markov Chain Monte Carlohttp://nbviewer.ipython.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter3_MCMC/IntroMCMC.ipynb
Multithreading and Queueshttp://pymotw.com/2/Queue/
Basics of Multithreading and queseshttp://www.troyfawkes.com/learn-python-multithreading-queues-basics/
Building a Recommender Systemhttp://www.quora.com/How-can-I-start-building-a-recommendation-engine
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-visualization
ggplothttp://ggplot.yhathq.com/
matplotlibhttp://matplotlib.org/
d3http://d3js.org/
bokehhttp://bokeh.pydata.org/
d3pyhttps://github.com/mikedewar/d3py
vincenthttp://vincent.readthedocs.org/en/latest/
seabornhttp://web.stanford.edu/~mwaskom/software/seaborn/
Scott Murray's D3 Tutorialshttps://patch-diff.githubusercontent.com/datahacking/DataScienceResources/blob/master/alignedleft.com/tutorials/d3
tributary.iohttp://tributary.io
plot.lyhttp://plot.ly
blockspringhttp://blockspring.com
dot.appendhttp://enjalot.github.io/dot-append/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#design-theory
Accelerating Understanding Through Data Visualizationhttp://www.accenture.com/SiteCollectionDocuments/PDF/Accenture-Accellerating-Understanding-Through-Data-Visualization.pdf
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#ipython-notebook-tutorials
Pandas Tutorialhttp://nbviewer.ipython.org/github/twiecki/financial-analysis-python-tutorial/blob/master/1.%20Pandas%20Basics.ipynb
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Intro to PyMChttp://nbviewer.ipython.org/github/fonnesbeck/Bios366/blob/master/notebooks/Section4_3-Introduction-to-PyMC.ipynb
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Kaggle Titanic Comp Tutorialhttp://nbviewer.ipython.org/github/agconti/kaggle-titanic/blob/master/Titanic.ipynb
Psycopg2 tutorial in Pythonhttps://wiki.postgresql.org/wiki/Psycopg2_Tutorial
SQL in iPythonhttp://nbviewer.ipython.org/gist/catherinedevlin/6588378
Mongo in Pythonhttp://api.mongodb.org/python/current/tutorial.html
Beautiful Soup Tutorialhttp://nbviewer.ipython.org/github/kcranston/2013-08-ku/blob/master/beautifulsoup/notebooks/00-BeautifulSoup.ipynb
Sci-Kit Learn Basicshttp://nbviewer.ipython.org/urls/raw2.github.com/yhat/DataGotham2013/master/notebooks/4%20-%20scikit-learn%20basics.ipynb?create=1
MatPlotLibhttp://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-4-Matplotlib.ipynb
Choosing the right priors - Bayesianhttp://nbviewer.ipython.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter6_Priorities/Priors.ipynb
Some Basic Data Analysis in Pythonhttp://nbviewer.ipython.org/github/jvns/talks/blob/master/pyconca2013/pistes-cyclables.ipynb
Crash Course in Python for Scientistshttp://nbviewer.ipython.org/gist/rpmuller/5920182
Regular Expressionshttp://nbviewer.ipython.org/gist/rjweiss/7577022
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Recursionhttp://anandology.com/python-practice-book/functional-programming.html
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-sources
Data.Govhttps://www.data.gov/
California Water Resourceshttp://www.water.ca.gov/data_home.cfm
Data for Cool DS projectshttp://101.datascience.community/2014/10/17/data-sources-for-cool-data-science-projects-part-1-guest-post/
Academic Torrentshttp://academictorrents.com/
Data Basinhttp://databasin.org/
Open Energy Data Initiativehttp://en.openei.org/wiki/Main_Page
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https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#new-data-tools
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GraphLabhttp://graphlab.com/
ModeAnalyticshttps://modeanalytics.com/
Apache Mahouthttps://mahout.apache.org/
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https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#product
Actionable Metricshttp://practicetrumpstheory.com/3-rules-to-actionable-metrics/
Analytics for Product Managershttp://www.mindtheproduct.com/2013/02/everything-a-product-manager-needs-to-know-about-analytics/
Startups, you are doing data science wrong!https://gigaom.com/2013/09/28/notice-to-startups-you-are-doing-data-science-wrong/
Product Psychologyhttp://www.productpsychology.com/category/user-behavior/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#team-communication--business-tools
Aha!http://www.aha.io/
Slackhttps://slack.com
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Trellohttps://trello.com
Zapierhttps://zapier.com/zapbook/harvest/slack/
Thoughtbot Playbookhttp://playbook.thoughtbot.com/
IFTTThttp://www.ifttt.com
Githubhttps://github.com
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https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#best-practices
Python Code Stylehttp://docs.python-guide.org/en/latest/writing/style/
Slide Deck for BMPshttps://python.g-node.org/python-summerschool-2011/_media/materials/best_practices/haenel-best-practices-2011-09-standrews.pdf
Engineering Practices in Data Sciencehttp://blog.kaggle.com/2012/10/04/engineering-practices-in-data-science/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#career-resources
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-science-career-path
Data Science @ Googlehttp://www.quora.com/What-is-the-Quant-Data-Science-Career-ladder-at-Google
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#types-of-data-scientists
Kind's of Data Scientisthttp://radar.oreilly.com/2013/06/theres-more-than-one-kind-of-data-scientist.html
Data Science For Startupshttp://tomtunguz.com/data-science-types/
Building Data Science Teamshttp://radar.oreilly.com/2011/09/building-data-science-teams.html
Data Science Team Building - The Power of Collaborative Analyticshttp://www.experfy.com/blog/data-science-team-building-power-collaborative-analytics/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-science-applicationsuse-cases
Kaggle Data Science Use Caseshttps://www.kaggle.com/wiki/DataScienceUseCases
Data Science for each Industryhttp://www.mastersindatascience.org/industry/
Big Data Analytics News - use Caseshttp://bigdataanalyticsnews.com/big-data-use-cases/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-science-websitesbooks
Data Science Handbookhttps://medium.com/@pericarus/introducing-the-data-science-handbook-b2bfa216bf4b
CrossValidatedhttp://stats.stackexchange.com/
StackOverflowhttps://patch-diff.githubusercontent.com/datahacking/DataScienceResources/blob/master/stackoverflow.com
Kagglehttp://www.kaggle.com
O'Reilly Mediahttp://shop.oreilly.com/category/get/data-science-kit.do
Quorahttp://www.quora.com/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-science-meetups-in-the-bay-area
SF Data Sciencehttp://www.meetup.com/SF-Data-Science/
Data Science for Sustainabilityhttp://www.meetup.com/Data-Science-for-Sustainability/
Python Meetup Grouphttp://www.meetup.com/sfpython/
USF Seminar Series in Analyticshttp://www.meetup.com/USF-Seminar-Series-in-Analytics/http://www.meetup.com/USF-Seminar-Series-in-Analytics/http://www.meetup.com/USF-Seminar-Series-in-Analytics/http://www.meetup.com/USF-Seminar-Series-in-Analytics/
DataKindSFhttp://www.meetup.com/DataKind-SF-Bay-Area/
SF Bayarea Machine Learninghttp://www.meetup.com/SF-Bayarea-Machine-Learning/
AirBnB Tech Talkshttp://nerds.airbnb.com/tech-talks/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-science-blogs
Data Stories @ Quroahttp://datastories.quora.com/
FastMLhttp://fastml.com/
FiveThirtyEight Bloghttp://fivethirtyeight.com/
Data Science Hanbookhttp://www.datasciencehandbook.me/
Simply Statistics Bloghttp://simplystatistics.org/
All The Things Techhttp://nyghtowl.io/
Musings in Data Sciencehttp://deblivingdata.net/
Zipfian Data Science Bloghttp://www.zipfianacademy.com/blog/
Machine Learning Masteryhttp://machinelearningmastery.com/
DataTauhttp://datatau.com
HackerNewshttps://news.ycombinator.com/
Quorahttp://quora.com
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#design-blogs
ThreeStoryBloghttp://blog.threestory.com/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-science-conferences
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GraphLabhttp://graphlab.com/events/conference14.html
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#data-science-presentations
Strata Collection of Presentationshttp://strataconf.com/strata2014/public/schedule/proceedings
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#relevant-business-processes
Lean Startuphttp://theleanstartup.com/principles
Agile Developmenthttp://en.wikipedia.org/wiki/Agile_software_development
Scrumhttp://en.wikipedia.org/wiki/Scrum_(software_development)
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#other-open-source-data-science-content
Open Data Science Mastershttp://datasciencemasters.org/
A Practical Intro to Data Sciencehttp://www.zipfianacademy.com/blog/post/46864003608/a-practical-intro-to-data-science
LearnDataSciencehttps://github.com/nborwankar/LearnDataScience
FreeDataScienceBookshttps://github.com/chaconnewu/free-data-science-books/blob/master/free-data-science-books.md
Gallery of Ipython Notebookshttps://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks
Data Science 45 Min Introshttps://github.com/DrSkippy/Data-Science-45min-Intros
Awesome Data Sciencehttps://github.com/okulbilisim/awesome-datascience
Awesome Big Datahttps://github.com/onurakpolat/awesome-bigdata
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#auxiliary-content--apps
Markablehttp://markable.in/editor/
Markdown Cheatsheethttps://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
LightPaperhttp://www.ashokgelal.com/lightpaper-for-mac/
iterm2http://iterm2.com/
Oh My Zshhttp://ohmyz.sh/
Sublime Text Editorhttp://www.sublimetext.com/
https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#about-me
@sf_oakhttp://bit.ly/1FefepA
LinkedInhttp://linkd.in/1vp57dk
findyourvc.cohttp://findyourvc.co
https://github.com/igrigorik/ga-beacon
Readme https://patch-diff.githubusercontent.com/datahacking/DataScienceResources#readme-ov-file
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