Parallelisation of Sci Kit Learning Python Models
Learn how to speed up your models in Scikit Learn with parallel processing.
Creating and replicating an Anaconda Environment from a YAML file
I had the perfect environment for my setup and I want to potentially create another environment and add some additional packages, or I want to roll this environment out for training purposes. This is where the YAML file comes in and it is sweet. Head to Anaconda Navigator I load up my Anaconda Navigator and…
Training XGBoost Model and Assessing Feature Importance using Shapley Values in Sci-kit Learn
In this tutorial I will take you through how to: Read in data Perform feature engineering, dummy encoding and feature selection…
PyHacks tutorials – the resource for learning Python is growing
I had an aim at the start of this year to make learning Python accessible to everyone, for free. Unfortunately, I…
Python (PyHacks) tutorials on lists, list comprehensions and Tuples has arrived
I have had many colleagues who work with the R programming language wanting something that is easily accessible for learning Python.…
Feature encoding methods – the Pandas way
This tutorial explores the various ways data can be encoded, using Pandas and Numpy, to prepare the data ready for a…
Creating Virtual Environments for Python Projects in VS Code
I had a similar problem recently, and then a request came through from a close friend (Chris Mainey) for the same…
Reticulate webinar – R and Python – a happy union
Wednesday (20th January 2021) myself and a colleagues Andreas kicked off the first webinar of 2021 for the NHS-R Community with…
LondonR Talks – Computer Vision Classification – Turning a Kaggle example into a clinical decision making tool
I had the pleasure of speaking at the last LondonR event of 2020. What a strange year it has been? But…
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…