Machine Learning

Developing a Web Application for a Machine Learning Model

This post describes developing a web application for a machine learning model and deploying it so that it can be accessed by anyone. The web application is available at: https://arrear-model.herokuapp.com/ The process of deployment consists of transferring all flask application files from a local computer to the web server. Once completed the web application can be visited by anyone through…

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Data Visualization

Economic Impact of the EU Membership on the UK

23rd June 2016, voters from United Kingdom (UK) voted in the Brexit referendum to leave European Union (EU) with a small majority vote of 51.9 %. The decision to leave EU since joining in 1973 has consequences that are both profound and catastrophic. The post analysis of the referendum found that the issues for Brexit can be categorized into socio-economic factors, geographic division,…

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Business, Data Analysis Resources, Data Visualization

An Analysis of the Impact of EU Membership on the Economic Development of Ireland

Recent economic recession and Brexit has raised doubts about the relationship with EU among member nations. This paper analyzes the public data from World Bank to determine the impact to the economic development of Ireland since joining the EU on 1st January 1973. The paper shows that EU membership has a positive relationship with the development of Ireland. Economy has transformed…

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Data Analysis Resources

What Make A Really Good Diamond?

The aim of this blog is to assess the quality and characteristics of the diamonds and gain insights about what makes a really good diamond. The data set is from ggplot2. The explanatory data analysis is done in Python and the notebooks are available on my Github. This blog address few important questions such as: What kind of diamonds are…

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Visualise Categorical Variables in Python
Data Analysis Resources

Visualise Categorical Variables in Python

It is crucial to learn the methods of dealing with categorical variables as categorical variables are known to hide and mask lots of interesting information in a data set. A categorical variable identifies a group to which the thing belongs. You could categorise persons according to their race or ethnicity, cities according to their geographic location, or companies according to…

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