Monthly Challenge – Ontotext case – Solution – Team epistemi

Posted 5 CommentsPosted in Classification systems

Week 1. Data Understanding + Feature Extraction We have been provided with a dataset consisting of 277419 records, which are extracted from DBpedia. It has 6 features and 1 label of 32 classes as summarised in below table: ID Item Name Item Type Observations 1 org Feature URL; may be useful for extraction of additional […]

Monthly Challenge – Ontotext case – Solution – Door

Posted 4 CommentsPosted in Classification systems

1. Business Understanding¶ Developing an automated and standardized classification model that can be used on any source to enrich the originally available data with industry sector information. Ultimately the task can be framed as an error/anomaly detection task. At the core, it is still a classification problem and the output should be not the ultimate […]

Monthly Challenge – Sofia Air – Solution – Kung Fu Panda

Posted 12 CommentsPosted in Prediction systems

1. Business Understanding The air quality in Sofia, Bulgaria, has been a problem for some time already. The population of the city is constantly increasing and this brings more traffic on the streets. The car ownership in Sofia is among the highest in Europe with around 600 cars per 1000 citizens. Another huge issue in […]

Monthly Challenge – Sofia Air – Solution – Banana

Posted 11 CommentsPosted in Prediction systems

Business Understanding Air pollution is one of the major global topics in every part of the modern life – politics, ecology, social responsibility etc. In the last few years it became a major topic for Bulgaria and especially for Sofia. It is a well – known fact that our capital’s air is rather polluted. The […]

Monthly Challenge – Sofia Air – Solution -[Dirty Minds]

Posted 11 CommentsPosted in Prediction systems

Introduction We were at the opening of the Datatohn 2018 with bated breath. The Case of Telelink is a real challenge to solve one of the most important problems of modern society in the urban areas. Foreknowledge of areas with polluted air would allow many people to take preventive measures and protect themselves from negative […]