People have been telling me not to teach caret anymore, albeit I do teach TidyModels as well. Their argument is that TidyModels is new and shiny and we should be using the most up to date tools. I get this justification, but is caret really dead? My answer is “not by a long shot!“. Hats…
I have put together a complete guide to model training, docker file creation and then consuming your API in R. This has arisen as part of a workshop the NHS-R community are doing around R in Production: show and tell, but instead of just making it local, I thought I would open up my part…
The conference will be held virtually and will kick-off : Monday 8th of November – Wednesday 10th November Featuring: Main Conference Events. This will include more workshops, lightning talks and plenary sessions. And the week before we will have lots of hands-on workshops: Monday 1st November – Friday 5th November Series of workshops for all…
DISCLAIMER I am a data scientist and have made all these mistakes, but I have had the privilege of sitting on the managerial, project lead and developer side of the fence, and here are some tips to getting your stakeholders (i.e. anyone involved in the project team or has an interest in the success of…
Hello, it is me again for another post on how to make sci-kit perform at the top of its game. Amping up the Model Evaluation process Model evaluation in sci-kit learn can be achieved by the cross_val_score. This performs repeated stratified K fold resampling and assess the model accuracy across each of those folds. This…
Learn how to speed up your models in Scikit Learn with parallel processing.
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…
In this tutorial I will take you through how to: Read in data Perform feature engineering, dummy encoding and feature selection Splitting data Training an XGBoost classifier Pickling your model and data to be consumed in an evaluation script Evaluating your model with Confusion Matrices and Classification reports in Sci-kit Learn Working with the shap…
In my dusty GitHub repository, sitting there, was a gem of a tool for tidying the outputs of a machine learning classification model into a record and row-level view for storage in databases. It has taken me time to get this to CRAN, as the dreaded closure, not subsettable, plagues me on the CRAN checks…
I had an aim at the start of this year to make learning Python accessible to everyone, for free. Unfortunately, I had some health problems to contend with alongside work, so I did not have the extracurricular time to tend to my pet project. However, I have been busy over the last few evenings and…
