The Kaufland Case – Recognize the Product

Posted 3 CommentsPosted in Datathon cases

On 22.01.2018 Amazon opened Amazon Go – their first ever physical store without cashiers and checkout lines – customers just grab the products from the shelves and go. AI algorithms detect what product you have grabbed.

Kaufland offers the unique opportunity to work with their internal data on a similar problem – developing a computer vision algorithm that detects which is the fruit or vegetable scanned.

Datathon – Kaufland Airmap – Solution – Phoenix

Posted 6 CommentsPosted in Datathons Solutions, Image recognition

Overview Our approach to the problem is as follow: Data Augmentation – in the data augmentation phase we are creating synthetic images based on the dataset we have. This helps us to have larger dataset for model training and validation Object detection – There are several challenges with the object detection. First, sample is imbalanced […]

Datathon – Sofia Air 2.0 – Solution – Predikt (Sofia Air 2.0) Github: scopyro

Posted 3 CommentsPosted in Datathons Solutions

GitHub Accounts: KarimEid1, Marcel344, scopyro , @boudy87

Air pollution is quite a topic today. The municipality is investing a lot of effort and resources in order to measure the exact values of the gases and particulate matter in the air in order to identify its quality.

This is the next step towards the completion of a story and holistic view over the data-driven and explained the social topic of unveiling the secrets behind the information about Sofia Air Quality.

This research differentiates the main sources of pollution in Sofia and tries to predict what are the growing rate of this pollution in order to rise awareness against this danger and visualize, in numbers, its growth rate.

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 […]