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Posted 28.04.201803.05.2018 codemonger, mr-reliable, codemonger, tanuj, dsowmya, learner1 Mentors: drsubhabahapalLeave a commentPosted in Datathons Solutions, Team solutionsDatathons Solutions, Team solutions

Deciphering Cryptocurrency by Occam’s Data Ninjas

https://drive.google.com/open?id=1cqUOvGzJtF4qUIOmlxKawhfrjPuzWaDl Occam’s Data Ninjas Please find the attachment for the code in the above google drive link. Occam’s Data Ninjas Team Mentor: Dr. […]

Posted 27.04.201804.07.2018 juniorLeave a commentPosted in NewsNews

Matchmaker results for Academia Datathon

     

Posted 14.04.201803.05.2018 marinovLeave a commentPosted in Finance, LearnFinance, Learn

Tech stack suggestions: Cryptocurrency Challenge

As asked by the organizers of the Datathon here are some suggestions about possible tech stack I found useful for time series analysis, which can be applied for the Cryptocurrency Challenge like libraries/articles/blogs about Moving Average and its variations, Kalman Filter, Fourier and Hilbert Decomposition, LSTM Recurrent Neural Network and others.

Posted 12.04.201804.07.2018 denitsayLeave a commentPosted in NewsNews

Challenge your Students with Cryptocurrency and Data Science?

The Academia Datathon is happening soon at the end of the month between 27th and 29th of April and we have already […]

Posted 27.03.201825.04.2018 martinmarinov Mentors: airsrg, denitsay, rhae1Leave a commentPosted in The DSS teamThe DSS team

Cambridge Analytica – has data science gone too far?

Op-ed piece.

Posted 18.02.201814.04.2018 martinmarinov2 CommentsPosted in Team solutionsTeam solutions

The ZenCodeo Case – Fuzzy String Solution

A simple solution to the problem of company name deduplication. No machine learning, just data prep.

Posted 14.02.201812.03.2018 junior1 CommentPosted in The DSS teamThe DSS team

Datathon Jury Results

SEMI – FINAL GROUPS The teams were assigned in groups of 3-4 (working on the same case, same domain and one mixed […]

Posted 11.02.201812.02.2018 sergeyvi4ev, lkhlift, andreideusteanu, sergeyvi4ev, slavyolov, julian, agamemnon, agamemnon, airsrg, zenpanik Mentors: agamemnon, drceenish5 CommentsPosted in Team solutionsTeam solutions

The SAP Case using KNIME and Multiple Linear Regression Method

SAP Case Team Mentors:  Agamemnon Baltagiannis SAP Case Team: Abderrahim Khalifa                        […]

Posted 11.02.201828.04.2018 bogomil-filipov, bogomil-filipov, geri, pierremartinow, malemale, atonchevaLeave a commentPosted in Team solutionsTeam solutions

The coalas Identrics

Identrics     Results_Dependency_Trees  Syntactic Parsing or Dependency Parsing is the task of recognizing a sentence and assigning a syntactic structure to it. The most widely used syntactic […]

Posted 09.02.201812.02.2018 poli, pepe, liad, laura, anenov4 CommentsPosted in Team solutionsTeam solutions

Team Cheetahs Case Telelink(iGEM)

Team name: Cheetahs Case: Telelink (iGEM) Provider: IBM   Business Understanding The task for the Telelink case is to obtain the complete set of […]

Posted 04.02.201810.06.2019 vlabov, kreezLeave a commentPosted in Datathon casesDatathon cases

The iGEM Bulgaria Case Sponsored by Telelink – What Really Goes into Sausages?

Find out ALL sources of meat that have been used to produce a certain sausage and ALL organisms (or traces of them) that should not be found in the sausage (pathogens, bugs, even human).

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