Predicting Weather Disruption of Public Transport
1. Business Understanding As part of datathon 2020, our case is tasked to build a predictive model to public transport services. The […]
1. Business Understanding As part of datathon 2020, our case is tasked to build a predictive model to public transport services. The […]
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Datathon2020 – Predicting weather disruption of public transport – provided by Ernst and Young¶This Project was inspired from the Business Case of […]
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.
Business understanding¶Online news reading has become very popular as the web provides access to news articles around the world. A key challenge […]
This article is a work in progress. We are a team of two and we just started exploring the dataset. Below is […]
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]) […]
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/
Business Understanding: This is the goal of the client: “Can you analyze the weather data to predict public transport service disruption in […]