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By Vusumuzi Moyo and Akira Sooful

This presentation will introduce Supervised and Unsupervised learning.

A bit rusty with Classification and Forecasting? Not to worry, we will be doing an overview on that as a refresher!

You will be presented with a discussion on feature selection based on Classification and Forecasting and a demonstration on how to use 2 algorithms to test the relevance of your features.

The demonstration will include feeding features into a relevant ML Algorithm and testing your model accuracy.

It will be an R-based demonstration, however, other languages such as Python may also be used.

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