Antelope SAP

Posted 2 CommentsPosted in Team solutions

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.

DAB PANDA: The A.I. Crypto Trader

Posted 7 CommentsPosted in Datathons Solutions, Team solutions

Team members: Ana Popova, @anie Izabella Taskova, @ izabellataskova Kamelia Kosekova, @kameliak Kameliya Lokmadzhieva, @kameliyalokmadzhieva Nikolay Bojurin, @nikolay Mentors: @boryana @alex-efremov @pepe   Team name: DAB PANDA Team logo:   NB!!!! OUR NOTEBOOKS ARE AVAILABLE HERE:  DAB PANDA Rmds   Data Understanding and Preparation You may see our code with results and brief comments if you […]

Datathon Air Sofia Solution – Telelink Televised by Teleloonies

Posted 4 CommentsPosted in Datathons Solutions

Techonnology and methods used: R – plyr, dplyr, tidyverse, stringr, data.table, geohash, ggmap, maps, robustbase, geosphere, pracma, Hmisc, ggplot2, tidyquant, reshape2, pastecs Python – s3fs, pandas, numpy, matplotlib, plotly, geohash2, folium, geopy OLS Regression, Ridge Regression, Decision Trees Introduction Air pollution beyond the norms is a common problem in many locations. Examining the causes behind and being able to predict […]