Blog Archives

Cats are great and so is the forcats R package

March 28, 2018
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Cats are great and so is the forcats R package

Cats are great. Perhaps Hadley Wickham and Lionel Henry think so too given the wonderful choice of name for their purrr package. Hadley Wickham has also created a superb package called forcats, likely  an abbreviation of “for categoricals” but wittingly cat-themed, which is very, very useful to the data scientist. In the data science profession,… Continue reading Cats are...

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Useful dplyr Functions (w/examples)

July 10, 2017
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Useful dplyr Functions (w/examples)

The R package dplyr is an extremely useful resource for data cleaning, manipulation, visualisation and analysis. It contains a large number of very useful functions and is, without doubt, one of my top 3 R packages today (ggplot2 and reshape2 being the others). When I was learning how to use dplyr for the first time,… Continue reading Useful dplyr...

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Ordinary Least Squares (OLS) Linear Regression in R

July 4, 2017
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Ordinary Least Squares (OLS) Linear Regression in R

Ordinary Least Squares (OLS) linear regression is a statistical technique used for the analysis and modelling of linear relationships between a response variable and one or more predictor variables. If the relationship between two variables appears to be linear, then a straight line can be fit to the data in order to model the relationship.… Continue reading Ordinary Least...

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Bland-Altman/Tukey Mean-Difference Plots using ggplot2

May 31, 2017
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Bland-Altman/Tukey Mean-Difference Plots using ggplot2

A very useful data visualisation tool in science, particularly in medical and sports settings, is the Bland-Altman/Tukey Mean-Difference plot. When comparing two sets of measurements for the same variable made by different instruments, it is often required to determine whether the instruments are in agreement or not. Correlation and linear regression can tell us something… Continue reading Bland-Altman/Tukey Mean-Difference...

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ggplot2 style plotting in Python

May 8, 2017
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ggplot2 style plotting in Python

R is my language of choice for data science but a good data scientist should have some knowledge of all of the great tools available to them. Recently, I have been gleefully using Python for machine learning problems (specifically pandas and the wonderful scikit-learn). However, for all its greatness, I couldn’t help but feel it… Continue reading ggplot2 style...

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Naive Bayes Classification in R (Part 2)

February 17, 2017
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Naive Bayes Classification in R (Part 2)

Following on from Part 1 of this two-part post, I would now like to explain how the Naive Bayes classifier works before applying it to a classification problem involving breast cancer data. The dataset is sourced from Matjaz Zwitter and Milan Soklic from the Institute of Oncology, University Medical Center in Ljubljana, Slovenia (formerly Yugoslavia) and… Continue reading Naive Bayes...

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Naive Bayes Classification in R (Part 1)

February 17, 2017
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Naive Bayes Classification in R (Part 1)

Introduction A very useful machine learning method which, for its simplicity, is incredibly successful in many real world applications is the Naive Bayes classifier. I am currently taking a machine learning module as part of my data science college course and this week’s practical work involved a classification problem using the Naive Bayes method. I… Continue reading Naive Bayes...

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Implementing the Gradient Descent Algorithm in R

February 12, 2017
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Implementing the Gradient Descent Algorithm in R

A Brief Introduction Linear regression is a classic supervised statistical technique for predictive modelling which is based on the linear hypothesis: y = mx + c where y is the response or outcome variable, m is the gradient of the linear trend-line, x is the predictor variable and c is the intercept. The intercept is… Continue reading Implementing the...

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Predicting the Willingen 2017 men’s ski jumping competition

January 26, 2017
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Predicting the Willingen 2017 men’s ski jumping competition

In an earlier post of mine, I carried out an analysis on ski jumping data for Zakopane, Poland and attempted to predict which athletes would end up on the podium. I also created a classification tree and tested it on the 2017 competition data with good results. For this side project of mine, I hope… Continue reading Predicting the...

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IMDB Movie Analysis

January 19, 2017
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IMDB Movie Analysis

Movies of late haven’t impressed (this viewer anyhow) and I keep finding myself returning to classics of the 1980’s and 1990’s to get my movie fix. While browsing through Kaggle datasets, I came across the IMDB 5000 Movie Dataset which contains data on over 5000 movies scraped from the IMDB website. I dove into the… Continue reading IMDB Movie...

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