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Industrial Data Science Library by Cognite

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Industrial Data Science Library

This is Cognite's collection of data science algorithms and models. Its objective is twofold. First, empower domain experts to conduct exploratory work, root cause analysis, and analyze data via Cognite Charts. Second, curate a collection industry relevant data science algorithms to be used as a regular python package. For more information, consult the Charts documentation page.

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Contributors โœจ

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Gustavo

๐Ÿ“– ๐Ÿ‘€ ๐Ÿ“ข โš ๏ธ ๐Ÿ”ฃ ๐Ÿ–‹ ๐Ÿ’ป ๐Ÿค”

Simon Funke

๐Ÿ’ป โš ๏ธ ๐Ÿ›

Neringa Altanaite

๐Ÿ’ป ๐Ÿ‘€ โš ๏ธ ๐Ÿ“–

Rhuan Barreto

๐Ÿ”ง ๐Ÿ›ก๏ธ ๐Ÿ‘€ ๐Ÿค” ๐Ÿš‡

Everton Colling

๐Ÿ’ป ๐Ÿ”ฃ ๐Ÿ“– โš ๏ธ

redzarosliCognite

๐Ÿ’ป ๐Ÿ‘€ ๐Ÿค” ๐Ÿ“– ๐Ÿ’ก ๐Ÿ’ฌ ๐Ÿ““

Morten Grรธnbech

๐Ÿ’ป ๐Ÿ’ก ๐Ÿ“– ๐Ÿ‘€ ๐Ÿ’ฌ ๐Ÿค”

Cristina Ferrer

๐Ÿ’ป ๐Ÿ’ก ๐Ÿค” ๐Ÿ‘€

Hรฅkon V. Treider

๐Ÿ’ป ๐Ÿ‘€ ๐Ÿค” ๐Ÿš‡

Andris Piebalgs

๐Ÿ’ป ๐Ÿ‘€ ๐Ÿ’ก

kbrattli

๐Ÿ’ป ๐Ÿ“– ๐Ÿšง โš ๏ธ

This project follows the all-contributors specification. Contributions of any kind welcome!

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