THE IMPACT OF COVID19 ON DATA SCIENCE
The world is currently at a standstill. Ever since the emergence and spread of the COVID 19 lives, businesses, and employment have […]
The world is currently at a standstill. Ever since the emergence and spread of the COVID 19 lives, businesses, and employment have […]
SEMI – FINAL GROUPS The teams were assigned in groups of 5-6 (working on the same case, and one mixed group with […]
Data Science Society starts a community-directed cause: Covid19 Online Challenge. The challenge is to use data science for better decision making with […]
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.
Datathon 2020 Kaufland – Optimize Retail Supply Chain Team Name: Raven Delivery Authors Borislav Aymaliev Gabriela Vasileva Irina Naskinova Zainab Lawal […]
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/
This article will analyze Dubai weather data collected from January 2018 to March 2020 in “Predicting weather disruption of public transport” case and Dubai traffic accident data collected from June 2019 to May 2020 on Dubai Pulse Dubai Police Traffic category.
Giving a recommendation to the user to catch his eye on and meet his preferences is essential task for a recommendation system. The amount of data is increasing significantly and the idea is to get some knowledge from it. Taking advantage of user similarities or news similarities will provide useful information to predict which article will the user find interesting.
Team Army of Ones and Zeros solving the “Netinfo/Vesti.bg” Case for Datathon 2020.
Data analysis has become an important asset for many new or growing companies. Data analysis provides an overview of how a business is doing. It also provides information on how to reach customers, evaluate their opinions. It also guides you on the trading strategies to be followed between the different competitors in the market.
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