Datathon – Sofia Air 2.0 – Solution – Team BG-USA
Sofia Air Pollution Case Team BG-USA: Kristiyan Vachev – Bulgaria () Sergey Vichev – Bulgaria () Stefan Panev – Bulgaria Georgi Kirilov – Bulgaria Mike […]
Sofia Air Pollution Case Team BG-USA: Kristiyan Vachev – Bulgaria () Sergey Vichev – Bulgaria () Stefan Panev – Bulgaria Georgi Kirilov – Bulgaria Mike […]
Sofia is a city with significant concentrations of particulate matter less than 10 micrometers in diameter (PM10.) A high concentration of PM10 is disruptive to life and the climate. The purpose of this project is to predict the concentration of PM10 at a particular day given the climatic conditions. This is important in allowing the making of policies to reduce the pollution in the city. Our contribution consists of a random forest regressor that acheives the purpose with 70 to 80% accuracy.
Great Topic
Sofia Air Case 2.0 (Level 1) Business Understanding: Sofia, the Capital city of Bulgaria, is a center of attention when it comes […]
Overview Our approach to the problem is as follow: Data Augmentation – in the data augmentation phase we are creating synthetic images […]
GitHub Accounts: KarimEid1, Marcel344, scopyro , @boudy87
Air pollution is quite a topic today. The municipality is investing a lot of effort and resources in order to measure the exact values of the gases and particulate matter in the air in order to identify its quality.
This is the next step towards the completion of a story and holistic view over the data-driven and explained the social topic of unveiling the secrets behind the information about Sofia Air Quality.
This research differentiates the main sources of pollution in Sofia and tries to predict what are the growing rate of this pollution in order to rise awareness against this danger and visualize, in numbers, its growth rate.
1. Business Understanding A Kaufland store is a very big thing. It has a sales floor of up to 12.000 square meters […]
Techonnology and methods used: R – tidyverse, lubridate, snakecase, sp, raster, spData, sf, leaflet, mapview, ggplot2, shiny, maps, devtools, geojsonio, rgdal, leaflet.esri, leaflet.extras Python – s3fs, pandas, numpy, matplotlib, plotly 1. Business Understanding Air pollution beyond the norms is a […]