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…
The motivation for this package is simple, while there are many packages that do similar things, few of them perform automated removal of the features from your models. This was the motivation, plus having them all in one location to enable you to easily find them, otherwise you would be looking through Caret, Tidymodels and…
I have recently just pushed my fourth package to CRAN, I will do a separate post on this, but the FeatureTerminatoR package has been built to perform automated feature selection, utilising methods such as recursive partitioning, multicollinearity purging and other types will be built into the second version. Installing the package The package currently resides…
