Datathon NSI Mentors’ Guidelines – Economic Time Series Prediction
In this article the mentors give some preliminary guidelines, advice and suggestions to the participants for the case. Every mentor should write […]
In this article the mentors give some preliminary guidelines, advice and suggestions to the participants for the case. Every mentor should write […]
In this article the mentors give some preliminary guidelines, advice and suggestions to the participants for the case. Every mentor should write […]
In this article the mentors give some preliminary guidelines, advice and suggestions to the participants for the case. Every mentor should write […]
In this article, the mentors give some preliminary guidelines, advice, and suggestions to the participants for the case. Every mentor should write […]
Overview of the data flow.
Data => Parser => TTM => TF-IDF => Model => Document Clusters
Team Army of Ones and Zeros solving the “Netinfo/Vesti.bg” Case for Datathon 2020.
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 […]
The Folder where you can locate the data & the code (using Jupyter). Crypto Crypto_Train https://notebooks.azure.com/febelaz/libraries/akademi4en-dataton
SAP Case Team Mentors: Agamemnon Baltagiannis SAP Case Team: Abderrahim Khalifa […]
In this article the mentors give some preliminary guidelines, advice and suggestions to the participants for the case. Every mentor should write […]