Tuesday, 23 May 2017 at 18:00 · SAST
Feature Selection for Classification and Forecasting
A bit rusty with Classification and Forecasting? Not to worry, we will be doing an overview on that as a refresher!
The speaker
Vusumuzi Moyo and Akira Sooful
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.
