General Terms of Participation for DSS Datathon With your registration, you accept the following conditions: 1. Registration You must register for the Datathon event by using our registration form. We really believe in the cause, therefore the registration is free for online participants and with a token payment for physical participation depending on the local […]
ShopUp is working on the Article recommender as a part of the Datathon2020 check some other researches which they are doing at https://shopup.me/blog/
Data Science Tools Note: This is an updated version of the old course. If you were enrolled in the older version (before September 18 SQL and Relational Databases 101 About This Course Data is one of the most critical assets of any business. Data needs a database to store and process data quickly. […]
The current paper examines the factors that influence the increase of the
sales volume of a retailer. The aim of the study is to create an accurate model with high explanatory
power which accounts for the promotional and competitor effects on the quantity sold as well
as to identify the main volume uplift drivers. That information could be useful when designing
marketing strategies in order to gain a competitive advantage over the other market players.
Tiny smart data modelled with a not-so-tiny smart model Introduction Metadata Business Understanding Data Understanding Data Preparation Modelling Evaluation Deployment Conclusion Metadata Case: The SAP Case – Analyze Sales Team: Chameleon Project URL: https://github.com/Bugzey/Chameleon-SAP Memebers: Stefan Panev ([email protected]), Metodi Nikolov ([email protected]), Ivan Vrategov ([email protected], Radoslav Dimitrov ([email protected]) Mentors: Alexander Efremov([email protected]) Agamemnon Baltagiannis ([email protected]) Team Toolset: […]
The project aims to build a recommender system for the website called Vesti.bg. As the company runs to serve its huge customer base (as clear from the given data!) completely and for their best interests. And in order to do that it wants to recommend its users with articles that they should read next (based on mimicking their reading pattern). This is expected to save a lot of its users’ time in thinking. Also, with better and faster recommendations come people’s interest and that results in the company’s growth. The Company actually has a huge customer base. So, providing them with what they might like can really help it in making good money.