Continuous Distributions Part 2A

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In [1]: import math import numpy as np import pandas as pd import holoviews as hv from holoviews import opts from bokeh.io import output_file, save, show import scipy import scipy.special from scipy.special import gamma import scipy.stats as stats hv.extension(‘bokeh’) “}}; function display_loaded() { var el = document.getElementById(null); if (el != null) { el.textContent = “BokehJS is […]

Discrete Probability Distributions Part 1

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In [1]: import math import numpy as np import pandas as pd import holoviews as hv from holoviews import opts from bokeh.io import output_file, save, show import scipy import scipy.special from scipy.stats import boltzmann from scipy.special import gamma import scipy.stats as stats hv.extension(‘bokeh’) “}}; function display_loaded() { var el = document.getElementById(null); if (el != null) { […]

Data Visualization with Python.

Posted Leave a commentPosted in Learn

It is said that a picture is equal to 1000 words. This article will focus on data visualization with Python and will introduce the most popular data visualization libraries, textbooks, and courses available. Data Visualization is a very important and often overlooked part of the process of asking the right question, getting the required data, […]

Datathon – Sofia Air 2.0 – Solution – Team BG-USA

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Sofia Air Pollution Case Team BG-USA: Kristiyan Vachev – Bulgaria () Sergey Vichev – Bulgaria () Stefan Panev – Bulgaria Georgi Kirilov – Bulgaria Mike Lane – USA ()   Data Preparation Geocoding the construction data: The original source file can be found here.  Basically, this is very very similar to geocoding as proposed in the original documentation […]

Case Fake News Datathon 2017

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This is the first Dathaton in Bulgaria during 24-26 March 2017 in Sofia. Here is one of the cases for for the Fake News 2017 challenge. You can see the data, the presentation and the case description here: https://gitlab.com/datasciencesociety/case_fake_news All of this is done according to CRISP-DM methodology that can be viewed here https://www.datasciencesociety.net/datathon-article-template/.

Case Receiptbank Datathon 2017

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This is the first Dathaton in Bulgaria during 24-26 March 2017 in Sofia. Here is one of the cases for Receiptbank  https://www.receipt-bank.com/ You can see the data, the presentation and the case description here: https://gitlab.com/datasciencesociety/case_receiptbank All of this is done according to CRISP-DM methodology that can be viewed here https://www.datasciencesociety.net/datathon-article-template/.

Case PISA Datathon 2017

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This is the first Dathaton in Bulgaria during 24-26 March 2017 in Sofia. Here is one of the cases for PISA  http://www.oecd.org/pisa/test/ You can see the data, the presentation and the case description here: https://gitlab.com/datasciencesociety/case_pisa All of this is done according to CRISP-DM methodology that can be viewed here https://www.datasciencesociety.net/datathon-article-template/.

Case NSI Datathon 2017

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This is the first Dathaton in Bulgaria during 24-26 March 2017 in Sofia. Here is one of the cases for NSI  http://www.nsi.bg/en You can see the data, the presentation and the case description here: https://gitlab.com/datasciencesociety/case_nsi All of this is done according to CRISP-DM methodology that can be viewed here https://www.datasciencesociety.net/datathon-article-template/.

Case Open Data BG Datathon 2017

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This is the first Dathaton in Bulgaria during 24-26 March 2017 in Sofia. Here is one of the cases for Open Data BG  https://data.egov.bg/ You can see the data, the presentation and the case description here: https://gitlab.com/datasciencesociety/case_opendatabg All of this is done according to CRISP-DM methodology that can be viewed here https://www.datasciencesociety.net/datathon-article-template/.

Case Vmware Datathon 2017

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This is the first Dathaton in Bulgaria during 24-26 March 2017 in Sofia. Here is one of the cases for Vmware  https://www.vmware.com/ You can see the data, the presentation and the case description here: https://gitlab.com/datasciencesociety/case_vmware All of this is done according to CRISP-DM methodology that can be viewed here https://www.datasciencesociety.net/datathon-article-template/.