Build and improve a Machine Learning Classification model with TidyModels and R

These set of tutorial arose through my desire to use as many machine learning packages as possible. My favourites still remain tensorflow, caret, sci-kit learn and now TidyModels. Why TidyModels? Instead of replacing the modelling package, tidymodels replaces the interface. Better said, tidymodels provides a single set of functions and arguments to define a model. It then fits the…

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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 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 good for rank…

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