Hyperparameter tuning a Transformer with Optuna
Learn how to use Optuna with the transformers large language model library
Narly NamedTuples in Python
NamedTuples are an excellent way to make your Python code more useful and readable. In short a NamedTuple is an alternative to the built-in tuple . This extension type enhances standard tuples so that their elements can be accessed by both their attribute name and the positional index. This is really powerful, as you can then refer…
Automating and downloading Google Chrome images with Selenium
I love Nottingham Forest and have been trying to find a way to include them in one of my tutorials, as…
Roll up, roll up the NHS-R Community Conference 2021 is coming to town
The conference will be held virtually and will kick-off : Monday 8th of November – Wednesday 10th November Featuring: Main Conference…
Parallelisation of Model Evaluation and Hyperparameter Tuning in Sci Kit Learn
Hello, it is me again for another post on how to make sci-kit perform at the top of its game. Amping…
Parallelisation of Sci Kit Learning Python Models
Learn how to speed up your models in Scikit Learn with parallel processing.
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…
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…
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…
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…