Monthly Challenge – Sofia Air – Solution – [iseveryonehigh]

Posted 8 CommentsPosted in Prediction systems

I have just begun my machine learning course from Andrew Ng at Coursera so I thought that this challenge would be a good test of my learnings. I apologise for the delay for article writing as I was not sure if I should have taken this challenge or not since the dataset seemed difficult to […]

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 – Jacob Avila

Posted 8 CommentsPosted in Prediction systems

Preliminary Analisys Due to the objective focused on predicting air quality forecast for the next 24 hours per station, first step should be data understanding for citizen science air quality measurements to group it by station and summarize them by day. To complete this task for inspection and pre-processing in order to find missing data, outliers and […]

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 – Jeremy Desir Weber

Posted 14 CommentsPosted in Prediction systems

WEEK 1¶ 1. Data and librairies Loading¶ The current study deals with particule matters (PM) concentration levels predictions in Sofia. The dataset mainly consists in Citizen science air quality measurements over 2017 and 2018, covering a large geographical span across Sofia and its surroundings, Official data collected by the European Environmental Agency, much more reliable […]

Datathon Sofia Air Solution – The Telelink Case handled by the Urban air quality Gurus!

Posted 4 CommentsPosted in Datathons Solutions

  1. Business Understanding Particulate matter is considered the air pollutant of greatest concern to the health of the urban population. Researches have shown that exposure to PM can lead to increased days lost from work or school, emergency room visits, hospital stays, and deaths. Both short and long-term exposures to PM can lead to […]

Datathon Sofia Air Solution – Telelink Case Solution

Posted 5 CommentsPosted in Prediction systems

Telelink Case Solution Team Dimas The Team Members – apetkov – desinik – rdimitrov – melania-berbatova – vrategov Github Repo: https://github.com/Bugzey/Team-Midas Workflow The main workflow happens over at our github page. You can read the latest version of this article here: https://github.com/Bugzey/Team-Midas/blob/master/7.%20Documentation/Doc_010%20Documentation.md ## Content 0. Data We were given the following 4 datasets: Air Tube-20180928T185037Z-001.zip […]