An Exercise in Digital Transversal Skills - Review
This was an exercise in survey research and team work as part of the Microsoft Diploma in Data Science that I completed in 2020. It was...
This was an exercise in survey research and team work as part of the Microsoft Diploma in Data Science that I completed in 2020. It was...
I was one of the supervisors on the Belfast Tourism Monitor in 2002. Below is a summary of the report conducted by Tourism Development...
Tourism Development International was tasked by the Cultural and Heritage Consumer Research Report.
In 2005 Dr McLoad and I developed a course for undergraduate students. The idea was to explore a research question using qualitative...
Below is an example of a questionnaire for a survey of tourist visitors. Only part of the survey is included here.
We were tasked to come up with a model for determining Fake News in news texts.
Research Question / Problem to be addressed: Let us imagine that the United States Department of Employment and Department of Education...
Step 1 – Collect the Data To develop the naive Bayes classifier, we will use data adapted from the SMS Spam Collection at...
(Caveat: This Blog post is adapted from Chapter 4 of 'Machine Learning in R' by Lantz (2013) In this Blog post we will explain the...
Abstract Analysis of Variance Analysis of variance is a collection of statistical models used to find whether there is a significant...
Well I'm making up this week for the lack of time I had to devote to this blog over the last three weeks after Darren kindly created this...
Getting the business foundations right first before diving into Big Data. According to Gartner, one of the world’s leading information...
Predicting Seasonal Change in Passenger numbers using Time Series in R I decided to look at Time Series algorithms and will take you...
In this blog entry I am going to explain a little about kNN Nearest Neighbour algorithm and walk you through the example given in the...
Introduction / Abstract The point of this exercise was to look at two algorithms namely, k-Means Cluster and k-NN Nearest Neighbor. The...
So what is Data Mining? Well one commentator I heard recently rewrote this question as, ‘How knowledge discovery in databases works?’ The...
In my 'Getting to Grips' series of articles I try to cut the hype and show my readers what is important before plunging headlong into...
Time Series - The Theory Importance of Time Series predictions The ability to observe the development of an area of interest (over time)...
In this blog entry I am going to explain a little about kNN Nearest Neighbour algorithm and walk you through the example given in the...
Occasionally you might see a 'box and whisker plot' in my posts, sounds like the name of your dog and cat doesn't it? Well no they are...
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