Python Pandas Pro – Session Three – Setting and Operations
The third in the series of Python Pandas tutorials. In this session we look at setting values, performing operations on data frames and histogramming.
Python Pandas Pro – Session Two – Selection on Data Frames
In the previous post we worked with a custom data set we had created for the purposes of demonstration. This time we are going to work with the gapminder dataset. Viewing the gapminder dataset To initialise the gapminder dataset in my project I will use the below import statements to prepare the project ready for…
Health Data Science Platform has landed – watch the webinar
The Health Data Science Platform has been an endeavour of love. But what is it? Watch our technical team discuss how and why you should be switching to the DSP in your healthcare organisation Introducing the DSP The webinar explains why use the DSP, how to use the DSP and what the DSP does. Under…
Python Pandas Pro – Session One – Creation of Pandas objects and basic data frame operations
I first started using Python a couple of years ago, when the limitations of some of the Deep Learning libraries in R became apparent. What I want to do is create a series of tutorials that allow you to get up to speed with Pandas for data frames in Python quickly. The first session will…
Connecting Python to SQL Server using trusted and login credentials
The pypyodbc is the library you need to drive the connection to a SQL server database. If, like me, you struggle with connection strings, then please navigate to this site for help with all types of connection string: https://www.connectionstrings.com/. Installing with pip install To install the relevant packages needed you will need to use pip…
Moving on as Head of Solutions and AI at Draper and Dash
Well, what can I say? It has been a blast over the past year and a half. In my time at the company I have managed to work on a number of fascinating projects, here is a list of just some of them: Data Science Platform – this has been the culmination of lots of…
D&D’s Data Science Platform (DSP) – making healthcare analytics easier
My current company Draper and Dash have been working on the Healthcare DSP for a number of months and we are now ready to launch. Find out what the HTN had to say: https://www.thehtn.co.uk/2020/09/15/new-health-data-science-platform-launches/ A word from D&D’s Chief Technology Officer Data Science Resilience & Collaboration in times of unprecedented disruption https://t.co/pPYTw55w4g – all powered…
A call to arms…
I would like to share a story with you. My schoolfriend Richard Chappell is seriously ill in Thailand and needs your help. Richard is a private person, who enjoy travelling and the fact that is asking for charity in his hour of need is literally and figuratively causing him pain and anguish. I have known…
Advanced Modelling in R with CARET – a focus on supervised machine learning
Yesterday (17th June) I did a session with the NHS-R Community relating to how to use the brilliant CARET package to build, evaluate, train and improve machine learning models. This was an entry level webinar to highlight the possibilities of how supervised machine learning could be used in the NHS to inform and augment decisions….
Threading and Caret: Burning your CPU to improve model training speed
When I am doing a Machine Learning project with R it is crucial to save those precious seconds, minutes, hours in model training. To make sure you optimise your CPU and crank up the performance you will need to load in the parallel and doParallel libraries, alongside library(caret). A wrapper function to help with this…