I have had many colleagues who work with the R programming language wanting something that is easily accessible for learning Python. I have started to compile some guides on how to work with Python data structures. My aim is to do a complete series of tutorials on how to utilise Python to its greatest potential….
I am so excited that my package OddsPlotty has landed on CRAN. This was a package I worked on when I was doing lots of multiple comparisons of logistic regression models and wanted a way to visualise the odds ratios on a graph i.e. an odds plot. This package allows for the generation of odds…
Do you program in R and normally use DPLYR for data wrangling, manipulation or whatever term you call it? Have you heard all the hype about data.table and how this package can significantly improve the performance run time of your R scripts? Have you been meaning to get round to learning data.table and have never…
These set of tutorial arose through my desire to use as many machine learning packages as possible. My favourites still remain tensorflow, caret, sci-kit learn and now TidyModels. Why TidyModels? Instead of replacing the modelling package, tidymodels replaces the interface. Better said, tidymodels provides a single set of functions and arguments to define a model. It then fits the…
I have been busy learning Docker, as it was one of those things I have been putting off for a while. But, I am so glad that I did. Essentially, I have gone through all the pain so you don’t have to. Building the ML Model and creating API with Plumber I can’t tell you…
The NHSDataDictionaRy package is now back on CRAN, and I am pleased as punch. This update contains the OpenSafely scraper to get data from the website for lookups developed by Ben Goldacre’s team. Why did it disappear? The package disappeared due to me taking it down for major script and function updates. This has now…
The NHS-R community commissioned a package at the start of the year to address the need to pull lookups real time from the NHS Data Dictionary website. I thought this would be a good package, but what I have included, in addition, is the ability to scrape tables and text from any website. What are…
This tutorial explores the various ways data can be encoded, using Pandas and Numpy, to prepare the data ready for a Machine Learning, or predictive model pipeline. Encoding methods There are three main methods explored therein: Label encoding – encoding a value based on where the label order falls – could be good for rank…
I have deployed many models in my time working as a Senior Data Scientist and as a Principal Analyst at Nottingham University Hospitals. I have deployed into SQL, on client sites, in Node.JS and other types of deployment. This was the first time I used the Plumber library, and I loved it. How to deploy…
I had a similar problem recently, and then a request came through from a close friend (Chris Mainey) for the same purpose. I thought “I’ll write a blog post on this”. So, what are the benefits of creating virtual environments.” First of all. what are virtual environments: A virtual environment is a Python environment such that the Python interpreter, libraries and…
