This tutorial has been borne out of the ability to port my development environments around. Most times I have to create requirements files to specify the dependent packages to be created in my virtual environments. Creating virtual environments To learn how to create virtual environments, see below: Anaconda: https://hutsons-hacks....

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 ...

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 ...