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Gold-Mining Week 8 (2018)

转载自:http://feedproxy.google.com/~r/RBloggers/~3/wGLES08Q4cQ/

Michael Griebe


发表于 2018-10-26

The post Gold-Mining Week 8 (2018) appeared first on Fantasy Football Analytics.

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Simulating simple dice games by @ellis2013nz

转载自:http://feedproxy.google.com/~r/RBloggers/~3/tXYqwtexses/

free range statistics - R


发表于 2018-10-26

A necessary but not sufficient condition for a game being one of skill rather than pure chance is that the player gets to make choices. If the game play is fully automatic, as in standard Snakes and Ladders, then there cannot possibly be any skill involved.

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SQL, Python, & R in One Platform

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/F6eYs7C-EzA/mode-analytics-sql-python-r-platform.html

Matt Mayo Editor


发表于 2018-10-26

No more jumping between applications. Mode Studio combines a SQL editor, Python and R notebooks, and a visualization builder in one platform.

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Designing Transforms for Data Reshaping with cdata

转载自:http://www.win-vector.com/blog/2018/10/designing-transforms-for-data-reshaping-with-cdata/

John Mount


发表于 2018-10-26

Authors: John Mount, and Nina Zumel 2018-10-25

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Spotlight on Julia Silge, Keynote Speaker EARL Seattle 7th November

转载自:http://feedproxy.google.com/~r/RBloggers/~3/1IFjw2x0_Lg/

Mango Solutions


发表于 2018-10-26

Julia is a Data Scientist at Stack Overflow, has a PhD in astrophysics and an abiding love for Jane Austen (which we totally understand!). Before moving into Data Science and discovering R, Julia worked in academia and ed tech, and was a NASA Datanaut. She enjoys making beautiful charts, programming in R, text mining, and communicating about technical topics with diverse audiences. In fact, she loves R and text mining so much, she literally wrote the book on it: Text Mining with R: A Tidy Approach!

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Designing Transforms for Data Reshaping with cdata

转载自:http://feedproxy.google.com/~r/RBloggers/~3/9YX2F61dPDg/

John Mount


发表于 2018-10-26

Authors: John Mount, and Nina Zumel 2018-10-25

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Marketing Analytics and Data Science

转载自:http://feedproxy.google.com/~r/RBloggers/~3/oU5Sn2y8KTg/

business-science.io - Articles


发表于 2018-10-26

Summary The data science community, Kaggle, recently announced the Google Analytics Customer Revenue Prediction competition. The competition uses data from the Google Merchandise store, and the challenge is to create a model that will predict the total revenue per customer.

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Notes on Feature Preprocessing: The What, the Why, and the How

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/Pt_fhH1T46s/notes-feature-preprocessing-what-why-how.html

Matthew Mayo


发表于 2018-10-26

Original vs shifted vs shifted & scaled data (Source: Artificial Intelligence GitBook)

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Are you buying an apartment? How to hack competition in the real estate market

转载自:http://feedproxy.google.com/~r/kdnuggets-data-mining-analytics/~3/-DNLOqa18xQ/apartment-hack-competition-real-estate-market.html

Dan Clark


发表于 2018-10-26

By Paweł Przytuła, co-founder and lead engineer at Appsilon Data Science.In the last couple of years, real estate companies have shifted their focus to the digital world, and now almost all investments have an online system showing what apartments are available. This is very convenient for their potential clients, as they can easily become familiar with the apartments on offer. Things become interesting when all available data is monitored on a weekly basis, and sales progress is analysed.

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R Packages worth a look

转载自:https://advanceddataanalytics.net/2018/10/26/r-packages-worth-a-look-1315/

Michael Laux


发表于 2018-10-26

A Versatile Toolkit for Copy Number Variation Relationship Data Analysis and Visualization (CNVScope)Provides the ability to create interaction maps, discover CNV map domains (edges), gene annotate interactions, and create interactive visualizations of …

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