René's URL Explorer Experiment


Title: GitHub - cgmac/DataScienceResources: Open Source Data Science Resources.

Open Graph Title: GitHub - cgmac/DataScienceResources: Open Source Data Science Resources.

X Title: GitHub - cgmac/DataScienceResources: Open Source Data Science Resources.

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

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

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

Opengraph URL: https://github.com/cgmac/DataScienceResources

X: @github

direct link

Domain: patch-diff.githubusercontent.com

route-pattern/:user_id/:repository
route-controllerfiles
route-actiondisambiguate
fetch-noncev2:67ea06a9-d58d-32ab-82fd-46bfc50d7e8c
current-catalog-service-hashf3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-idA022:2F3798:129CFC51:12FFF187:696E9C5D
html-safe-noncef8a35b9974eb3aa0a4c43bf6936a3f7d6564c8738aaf91834d569760f0976971
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJBMDIyOjJGMzc5ODoxMjlDRkM1MToxMkZGRjE4Nzo2OTZFOUM1RCIsInZpc2l0b3JfaWQiOiIzNTA0MzQ1NTYwMzkyODM0MTQxIiwicmVnaW9uX2VkZ2UiOiJzZWEiLCJyZWdpb25fcmVuZGVyIjoic2VhIn0=
visitor-hmac3b7f4f8ce226091325e6f8ab61b7a734be72a7ad7565994021a30caf18af2a98
hovercard-subject-tagrepository:702208120
github-keyboard-shortcutsrepository,copilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-urlhttps://collector.github.com/github/collect
analytics-location//
fb:app_id1401488693436528
apple-itunes-appapp-id=1477376905, app-argument=https://github.com/cgmac/DataScienceResources
twitter:imagehttps://opengraph.githubassets.com/44d7b8ac32b49a8e27387c616683a25477ec2ebf74af4dcffb0d70068948682e/cgmac/DataScienceResources
twitter:cardsummary_large_image
og:imagehttps://opengraph.githubassets.com/44d7b8ac32b49a8e27387c616683a25477ec2ebf74af4dcffb0d70068948682e/cgmac/DataScienceResources
og:image:altOpen Source Data Science Resources. Contribute to cgmac/DataScienceResources development by creating an account on GitHub.
og:image:width1200
og:image:height600
og:site_nameGitHub
og:typeobject
hostnamegithub.com
expected-hostnamegithub.com
Nonefdad15fd2ad43212aa8b8be5f2c2725550f8374ceeeb154a999ad9145b43f3f7
turbo-cache-controlno-preview
go-importgithub.com/cgmac/DataScienceResources git https://github.com/cgmac/DataScienceResources.git
octolytics-dimension-user_id4778225
octolytics-dimension-user_logincgmac
octolytics-dimension-repository_id702208120
octolytics-dimension-repository_nwocgmac/DataScienceResources
octolytics-dimension-repository_publictrue
octolytics-dimension-repository_is_forktrue
octolytics-dimension-repository_parent_id55123385
octolytics-dimension-repository_parent_nwojmportilla/DataScienceResources
octolytics-dimension-repository_network_root_id25270043
octolytics-dimension-repository_network_root_nwojonathan-bower/DataScienceResources
turbo-body-classeslogged-out env-production page-responsive
disable-turbofalse
browser-stats-urlhttps://api.github.com/_private/browser/stats
browser-errors-urlhttps://api.github.com/_private/browser/errors
release27b23bc056eb973d350fc95afc848757edb9e7a9
ui-targetfull
theme-color#1e2327
color-schemelight dark

Links:

Skip to contenthttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#start-of-content
https://patch-diff.githubusercontent.com/
Sign in https://patch-diff.githubusercontent.com/login?return_to=https%3A%2F%2Fgithub.com%2Fcgmac%2FDataScienceResources
GitHub CopilotWrite better code with AIhttps://github.com/features/copilot
GitHub SparkBuild and deploy intelligent appshttps://github.com/features/spark
GitHub ModelsManage and compare promptshttps://github.com/features/models
MCP RegistryNewIntegrate external toolshttps://github.com/mcp
ActionsAutomate any workflowhttps://github.com/features/actions
CodespacesInstant dev environmentshttps://github.com/features/codespaces
IssuesPlan and track workhttps://github.com/features/issues
Code ReviewManage code changeshttps://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilitieshttps://github.com/security/advanced-security
Code securitySecure your code as you buildhttps://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they starthttps://github.com/security/advanced-security/secret-protection
Why GitHubhttps://github.com/why-github
Documentationhttps://docs.github.com
Bloghttps://github.blog
Changeloghttps://github.blog/changelog
Marketplacehttps://github.com/marketplace
View all featureshttps://github.com/features
Enterpriseshttps://github.com/enterprise
Small and medium teamshttps://github.com/team
Startupshttps://github.com/enterprise/startups
Nonprofitshttps://github.com/solutions/industry/nonprofits
App Modernizationhttps://github.com/solutions/use-case/app-modernization
DevSecOpshttps://github.com/solutions/use-case/devsecops
DevOpshttps://github.com/solutions/use-case/devops
CI/CDhttps://github.com/solutions/use-case/ci-cd
View all use caseshttps://github.com/solutions/use-case
Healthcarehttps://github.com/solutions/industry/healthcare
Financial serviceshttps://github.com/solutions/industry/financial-services
Manufacturinghttps://github.com/solutions/industry/manufacturing
Governmenthttps://github.com/solutions/industry/government
View all industrieshttps://github.com/solutions/industry
View all solutionshttps://github.com/solutions
AIhttps://github.com/resources/articles?topic=ai
Software Developmenthttps://github.com/resources/articles?topic=software-development
DevOpshttps://github.com/resources/articles?topic=devops
Securityhttps://github.com/resources/articles?topic=security
View all topicshttps://github.com/resources/articles
Customer storieshttps://github.com/customer-stories
Events & webinarshttps://github.com/resources/events
Ebooks & reportshttps://github.com/resources/whitepapers
Business insightshttps://github.com/solutions/executive-insights
GitHub Skillshttps://skills.github.com
Documentationhttps://docs.github.com
Customer supporthttps://support.github.com
Community forumhttps://github.com/orgs/community/discussions
Trust centerhttps://github.com/trust-center
Partnershttps://github.com/partners
GitHub SponsorsFund open source developershttps://github.com/sponsors
Security Labhttps://securitylab.github.com
Maintainer Communityhttps://maintainers.github.com
Acceleratorhttps://github.com/accelerator
Archive Programhttps://archiveprogram.github.com
Topicshttps://github.com/topics
Trendinghttps://github.com/trending
Collectionshttps://github.com/collections
Enterprise platformAI-powered developer platformhttps://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security featureshttps://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI featureshttps://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 supporthttps://github.com/premium-support
Pricinghttps://github.com/pricing
Search syntax tipshttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentationhttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in https://patch-diff.githubusercontent.com/login?return_to=https%3A%2F%2Fgithub.com%2Fcgmac%2FDataScienceResources
Sign up https://patch-diff.githubusercontent.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E&source=header-repo&source_repo=cgmac%2FDataScienceResources
Reloadhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources
Reloadhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources
Reloadhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources
cgmac https://patch-diff.githubusercontent.com/cgmac
DataScienceResourceshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources
jmportilla/DataScienceResourceshttps://patch-diff.githubusercontent.com/jmportilla/DataScienceResources
Notifications https://patch-diff.githubusercontent.com/login?return_to=%2Fcgmac%2FDataScienceResources
Fork 0 https://patch-diff.githubusercontent.com/login?return_to=%2Fcgmac%2FDataScienceResources
Star 0 https://patch-diff.githubusercontent.com/login?return_to=%2Fcgmac%2FDataScienceResources
0 stars https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/stargazers
1.5k forks https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/forks
Branches https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/branches
Tags https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/tags
Activity https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/activity
Star https://patch-diff.githubusercontent.com/login?return_to=%2Fcgmac%2FDataScienceResources
Notifications https://patch-diff.githubusercontent.com/login?return_to=%2Fcgmac%2FDataScienceResources
Code https://patch-diff.githubusercontent.com/cgmac/DataScienceResources
Pull requests 0 https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/pulls
Actions https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/actions
Projects 0 https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/projects
Security Uh oh! There was an error while loading. Please reload this page. https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/security
Please reload this pagehttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources
Insights https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/pulse
Code https://patch-diff.githubusercontent.com/cgmac/DataScienceResources
Pull requests https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/pulls
Actions https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/actions
Projects https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/projects
Security https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/security
Insights https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/pulse
Brancheshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/branches
Tagshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/tags
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/branches
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/tags
74 Commitshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/commits/master/
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources/commits/master/
README.mdhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/blob/master/README.md
README.mdhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/blob/master/README.md
READMEhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources
upvote it on datatauhttp://www.datatau.com/item?id=4593
Data Science Getting Startedhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-getting-started
Starthttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#start
Data Science Courseshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-courses
Data Pipeline & Toolshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-pipeline--tools
Pythonhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#python
Data Structures & CS topicshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-structures--cs-topics
Statisticshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#statistics
Stats/Engineering Librarieshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#statsengineering-libraries
Databases/Frameworkshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#databasesframeworks
Data Acquisitionhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-acquisition
Processing & EDAhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#processing--exploratory-data-analysis
Machine Learninghttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#machine-learning
Machine Learning Theoryhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#machine-learning-theory
Deep Learninghttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#deep-learning
Model Selectionhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#model-selection
Model Evaluationhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#model-evaluation
Feature Engineeringhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#feature-engineering
Additional Tools or Processeshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#additional-tools-or-processes
Data Visualizationhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-visualization
ipython Notebook Tutorialshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#ipython-notebook-tutorials
Data Sourceshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-sources
New Data Toolshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#new-data-tools
Producthttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#product
Product Metricshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#product-metrics
Team Communication & Business Toolshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#team-communication--business-tools
Best Practiceshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#best-practices
Career Resourceshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#career-resources
Data Science Career Pathhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-career-path
Types of Data Scientistshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#types-of-data-scientists
Data Science Applications/Use Caseshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-applicationsuse-cases
Data Science Websites/Bookshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-websitesbooks
Data Science Meetups in the Bay Areahttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-meetups-in-the-bay-area
Data Science Blogshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-blogs
Data Science Conferenceshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-conferences
Data Science Presentationshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-presentations
Relevant Business Processeshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#relevent-business-processes
Open Source Data Science Resourceshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#open-source-data-science-resources
Additional Open Source Contenthttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#other-open-source-data-science-content
Auxiliary Content & Appshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#auxiliary-content--apps
About Mehttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources#about-me
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-getting-started
Drew Conway's venn diagramhttp://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
Cheat Sheet of a Modern Data Scientisthttp://www.marketingdistillery.com/2014/08/30/data-science-skill-set-explained/
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#start
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/cgmac/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/cgmac/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
Anyone Can Codehttp://dhruvbird.com/61.html
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-structures--cs-topics
Algorithms & Data Structureshttp://www.bogotobogo.com/Algorithms/algorithms.php
Algorithm & Data Structureshttp://interactivepython.org/courselib/static/pythonds/index.html
Big O Notationhttp://interactivepython.org/courselib/static/pythonds/AlgorithmAnalysis/BigONotation.html
Visualizations of Data Structureshttp://www.cs.usfca.edu/~galles/visualization/Algorithms.html
Data Structures CheatSheet & Big Oh Notationhttp://bigocheatsheet.com/
Data Structures CheatSheet -smaller more readablehttps://www.clear.rice.edu/comp160/data_cheat.html
Coursera: Stanford Algorithms Design & Analysis https://class.coursera.org/algo-006
Statistics Without the Agonizing Painhttps://www.youtube.com/watch?v=5Dnw46eC-0o
Probability Programming and Bayesian Methods for Hackershttp://nbviewer.ipython.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Prologue/Prologue.ipynb
Probabilistic Programming and Bayesian Methods for Hackershttps://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Statistics Cheat Sheet in Ipython Notebookhttp://nbviewer.ipython.org/url/trust.sce.ntu.edu.sg/~gguo1/blogs/Statistics/Statistics.ipynb
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/
Khan Academy: Statisticshttps://www.khanacademy.org/#statistics
Statistical Distributions in iPython Notebookhttp://nbviewer.ipython.org/urls/gist.github.com/mattions/6113437/raw/c5468ea930d6960225d83e112d7f3d00d9c13398/Exploring+different+distribution.ipynb
Pandashttp://pandas.pydata.org/
Numpy/Pandas/Scipy Cheatsheethttps://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf
SciPyhttp://www.scipy.org/
NumPyhttp://www.numpy.org/
StatsModelshttp://statsmodels.sourceforge.net/
PyMChttps://pypi.python.org/pypi/pymc
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/
MRjobhttps://github.com/Yelp/mrjob
A visual introduction to Machine Learninghttp://www.r2d3.us/visual-intro-to-machine-learning-part-1/
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/
Machine Learning CheatSheethttps://github.com/soulmachine/machine-learning-cheat-sheet
Awesome Machine Learninghttps://github.com/josephmisiti/awesome-machine-learning
MathematicalMonk ML videoshttps://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA
Logistic Regression Explainedhttp://www.appstate.edu/~whiteheadjc/service/logit/intro.htm#hypothesis
Video explaining how Random Forests Algorithm workshttps://www.youtube.com/watch?v=o7iDkcpOr_g
Random Forest Explainedhttp://citizennet.com/blog/2012/11/10/random-forests-ensembles-and-performance-metrics/
Machine Learning 101http://www.erogol.com/large-set-machine-learning-resources-beginners-mavens/
HackerNews for Deep Learninghttp://news.startup.ml/
Deeplearning4jhttp://deeplearning4j.org/
Neural Networks Explained - Videohttps://www.youtube.com/watch?v=bxe2T-V8XRs
Deep Learning Tutorialhttp://deeplearning.net/tutorial/deeplearning.pdf
What is Deep Learninghttp://blog.shakirm.com/2015/06/a-statistical-view-of-deep-learning-vi-what-is-deep/?utm_content=bufferae750&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer
Free Online Deep Learning Bookhttp://neuralnetworksanddeeplearning.com/
The Brain vs Deep Learning - Blog Posthttps://timdettmers.wordpress.com/2015/07/27/brain-vs-deep-learning-singularity/
ANN & Computational Intelligence Forecasting Competitionhttp://www.neural-forecasting-competition.com/index.htm
Neural Networks for Time Series Slidedeckhttp://www.cs.cmu.edu/afs/cs/academic/class/15782-f06/slides/timeseries.pdf
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
Cross Validation - how to select your final Kaggle Modelhttp://www.chioka.in/how-to-select-your-final-models-in-a-kaggle-competitio/
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/cgmac/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/
Multithreading & Queuinghttp://www.shanelynn.ie/using-python-threading-for-multiple-results-queue/
Building a Recommender Systemhttp://www.quora.com/How-can-I-start-building-a-recommendation-engine
https://patch-diff.githubusercontent.com/cgmac/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/cgmac/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/cgmac/DataScienceResources#design-theory
Slidedeck on Data Storytelling & Visualization http://higherlogicdownload.s3.amazonaws.com/AMSTAT/62ac7e8c-c7ec-4e98-b58b-dd540bf9e0d9/UploadedImages/dvc2014/Veena%20MendirattaASA%20Storytelling%20with%20Data%20Visualization.pdf
Accelerating Understanding Through Data Visualizationhttp://www.accenture.com/SiteCollectionDocuments/PDF/Accenture-Accellerating-Understanding-Through-Data-Visualization.pdf
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#ipython-notebook-tutorials
Pandas Tutorialhttp://nbviewer.ipython.org/github/twiecki/financial-analysis-python-tutorial/blob/master/1.%20Pandas%20Basics.ipynb
Pandas / Stats Tutorialhttps://github.com/fonnesbeck/pytenn2014_tutorial
Scipy Tutorialhttp://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-3-Scipy.ipynb
Numpy Tutorialhttp://nbviewer.ipython.org/github/jrjohansson/scientific-python-lectures/blob/master/Lecture-2-Numpy.ipynb
Multiple Regressions using Statsmodelshttp://nbviewer.ipython.org/urls/s3.amazonaws.com/datarobotblog/notebooks/multiple_regression_in_python.ipynb
Intro to PyMChttp://nbviewer.ipython.org/github/fonnesbeck/Bios366/blob/master/notebooks/Section4_3-Introduction-to-PyMC.ipynb
More on PyMChttp://nbviewer.ipython.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter2_MorePyMC/MorePyMC.ipynb
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
MapReducehttp://nbviewer.ipython.org/github/cs109/content/blob/master/labs/lab8/lab8_mapreduce.ipynb
Recursionhttp://nbviewer.ipython.org/github/gumption/Motivating_and_Visualizing_Recursion_in_Python/blob/master/Motivating_and_Visualizing_Recursion_in_Python.ipynb
Recursionhttp://anandology.com/python-practice-book/functional-programming.html
Hash Table, Bloom Filter, HyperLogLoghttp://nbviewer.ipython.org/github/mlaprise/pydata2013-pds-talk/blob/master/pydata2013.ipynb
Hash tables, Binary Treeshttp://nbviewer.ipython.org/github/iit-cs429/main/blob/master/lectures/lec04/Dictionaries.ipy
Time Series- Arima & Armahttp://nbviewer.ipython.org/github/qwu-hab/geogg121/blob/master/tsa_temp.ipynb
https://patch-diff.githubusercontent.com/cgmac/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
UCI Machine Learning Datasetshttps://archive.ics.uci.edu/ml/datasets.html
London Data Storehttp://data.london.gov.uk/
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#new-data-tools
BigMLhttps://bigml.com/
GraphLabhttp://graphlab.com/
ModeAnalyticshttps://modeanalytics.com/
Apache Mahouthttps://mahout.apache.org/
Apache Hadoophttp://hadoop.apache.org/
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#other-useful-scripts
Spinning up EC2 instanceshttps://github.com/drewconway/data_science_box
https://patch-diff.githubusercontent.com/cgmac/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/
Understanding Cohort Analysishttp://amarnath14.tumblr.com/post/69790103060/understanding-cohort-analysis
Tech Product Managementhttp://techproductmanagement.com/
Mind The Producthttp://www.mindtheproduct.com/
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#team-communication--business-tools
Aha!http://www.aha.io/
Slackhttps://slack.com
Harvesthttps://www.getharvest.com
Trellohttps://trello.com
Zapierhttps://zapier.com/zapbook/harvest/slack/
Thoughtbot Playbookhttp://playbook.thoughtbot.com/
IFTTThttp://www.ifttt.com
Githubhttps://github.com
Google Analyticshttp://www.google.com/analytics/
Mixpanelhttps://mixpanel.com/
Clickyhttp://clicky.com/
Evernotehttps://evernote.com/
https://patch-diff.githubusercontent.com/cgmac/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/cgmac/DataScienceResources#career-resources
https://patch-diff.githubusercontent.com/cgmac/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/cgmac/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/cgmac/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/cgmac/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/cgmac/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/
Data Science @ StackExchangehttp://datascience.stackexchange.com/
https://patch-diff.githubusercontent.com/cgmac/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/cgmac/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
ThreeStoryBloghttp://blog.threestory.com/
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-conferences
Stratahttp://strataconf.com/
GraphLabhttp://graphlab.com/events/conference14.html
PyDatahttp://pydata.org
https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#data-science-presentations
Strata Collection of Presentationshttp://strataconf.com/strata2014/public/schedule/proceedings
KDD Keynoteshttp://videolectures.net/kdd2014_newyork/
All of PyData Conference Talkshttps://github.com/DataTau/datascience-anthology-pydata
https://patch-diff.githubusercontent.com/cgmac/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/cgmac/DataScienceResources#start-up-resources
How to Start a Start-uphttp://startupclass.samaltman.com/
https://patch-diff.githubusercontent.com/cgmac/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
Mining the Social Webhttps://github.com/ptwobrussell/Mining-the-Social-Web-2nd-Edition
Harvard CS109 Github Repohttps://github.com/cs109/
Pete Warden's Data Science Toolkithttps://github.com/petewarden/dstk
Course Materials for Data Science Specializationhttps://github.com/DataScienceSpecialization/courses
iPython Cookbook Materialshttps://github.com/ipython-books/cookbook-code
https://patch-diff.githubusercontent.com/cgmac/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/cgmac/DataScienceResources#about-me
@sf_oakhttp://bit.ly/1FefepA
LinkedInhttp://linkd.in/1vp57dk
AngelListhttps://angel.co/jonathan-bower
https://github.com/igrigorik/ga-beacon
Readme https://patch-diff.githubusercontent.com/cgmac/DataScienceResources#readme-ov-file
Please reload this pagehttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources
Activityhttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/activity
0 starshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/stargazers
0 watchinghttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/watchers
0 forkshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/forks
Report repository https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fcgmac%2FDataScienceResources&report=cgmac+%28user%29
Releaseshttps://patch-diff.githubusercontent.com/cgmac/DataScienceResources/releases
Packages 0https://patch-diff.githubusercontent.com/users/cgmac/packages?repo_name=DataScienceResources
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.