Datathon-HackNews-Solutions-Data Titans

Posted 4 CommentsPosted in Datathons Solutions

  Team Name : Data Titans Team Members : M.HEMANTH KUMAR, A.PAVAN SHANKAR, B.MANOHAR, V. LITHIN CHOWDARY,  E.V.S.SAI RAM PROBLEM STATEMENT : Hack the news whether it is propaganda or Non-Propaganda INTRODUCTION: Propaganda is a view which can mislead us to certain false assumptions, So here we got a chance to Identify the Propaganda in the […]

Monthly Challenge – Sofia Air – Solution – Kiwi Team

Posted 14 CommentsPosted in Datathons Solutions

 I. Business understanding The fast-paced modern lifestyle has dramatic effect on the quality of life. Bulgaria is an example of a developing country that is not yet self-sustainable. Due to a variety of factors there are frequent cases of air pollution. Open areas often experience more winds and are therefore more likely to have better […]

Datathon Kaufland Solution – Team Total Kaputt! – Why da faQ the machine broke down?

Posted 1 CommentPosted in Prediction systems

What we tried to do to solve the Kaufland case for the Global Datathon 2018. This article just contains our exploratory data analysis in the form of many plots and some explanations. There isn’t any modeling stage described here.

Datathon Ontotext Mentors’ Guidelines – Text Mining Classification

Posted Leave a commentPosted in GD2018 Mentors, Mentors

In this article the mentors give some preliminary guidelines, advice and suggestions to the participants for the case. Every mentor should write their name and chat name in the beginning of their texts, so that there are no mix-ups with the other menthors. By rules it is essential to follow CRISP-DM methodology (http://www.sv-europe.com/crisp-dm-methodology/). The DSS […]

Global Datathon Instructions

Posted Leave a commentPosted in The DSS team

Dear participants, we highly appreciate your participation in the Datathon as challengers and we are sure that your contribution will make for another great Datathon. During the event your task would be to develop a data based solution to a chosen case study. Before the event Register into the Datathon Platform Register in Datathon website […]

ACES solution to article recommender engine case – provided by NetInfo

Posted 7 CommentsPosted in Datathon 2020 Solutions, Recommendation systems

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Authors The ACES team that worked on the solution is listed in alphabetical order: Atanas Blagoev ([email protected]) Atanas Panayotov([email protected]) Emil Gyorev ([email protected]) Georgi Buyukliev ([email protected]) Iliana Voynichka ([email protected]) Slav-Konstantin Ivanov ([email protected]) Ventsislav Yordanov ([email protected])   Business Understanding Even though the news is perceived as one of the most important sources of information to people in […]

Agenda and Guidelines for Datathon 2020

Posted Leave a commentPosted in Guidelines

Pre-event week  11-14  May Register for the event. Make a profile on the Datasciencesociety.net platform. Join the Data.Chat group “datathon_2020” – official channel for communication for this event! Make yourself familiar with the DSS platform , data chat and channels . Access example  datasets per each case.  11 May 09:00 – Start forming teams 12 […]

Cryptocurrency Prediction by Kautilya

Posted 6 CommentsPosted in Datathons Solutions, Learn, Team solutions

Given the cryptocurrencies’ data, we aim to forecast the future cryptocurrencies’ prices so as to execute profitable trades. We show that the cryptocurrencies’ prices also exhibit desirable properties such as stationarity and mixing. Some classical time series prediction models that exploit this behavior, such as “Arima” models produce poor predictions and also lack good probabilistic interpretations. We have introduced a theoretical framework in the 1st place and for predicting and trading prices of the cryptocurrencies for future and based on that we have designed our model which is based on “Neural Network” model which can give better prediction values as compared to the other models.