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 […]
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 […]
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.
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 […]
Team Info “The diggers” – Tsenov Academy of Economics, Svishtov
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 […]
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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 […]
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 […]
Dear Society, you should register for the Global Datathon 2018 – http://bit.ly/2wadU9C in order to see the case descriptions! 🙂
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.
Data preparation The first step in our analysis was to see if there are any observations missing. Some dates were not even present in the provided file, so we decided to add them and consider the price for that certain day, hour or minute as NA. The next step was to differentiate the data. At […]