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 ...

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 ...

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 ...

I have had many colleagues who work with the R programming language wanting something that is easily accessible for learning Python. I have started to compile some guides on how to work with Python data structures. My aim is to do a complete series of tutorials on how to utilise ...

This tutorial explores the various ways data can be encoded, using Pandas and Numpy, to prepare the data ready for a Machine Learning, or predictive model pipeline. Encoding methods There are three main methods explored therein: Label encoding – encoding a value based on where the label order falls – could be ...

I had a similar problem recently, and then a request came through from a close friend (Chris Mainey) for the same purpose. I thought “I’ll write a blog post on this”. So, what are the benefits of creating virtual environments.” First of all. what are virtual environments: A virtual ...

Wednesday (20th January 2021) myself and a colleagues Andreas kicked off the first webinar of 2021 for the NHS-R Community with our look at the benefits of using reticulate for joining up R and Python. What was the webinar about? The webinar was split into two sections: The first session involved me ...