rooibosTea_classification

An educational tutorial that is based on rooibos tea data. The tutorials run through data visualization, data correlation, and finally performing binary classification on fermented and non-fermented rooibos data using basic statistical methods and some machine learning tools. The work is fairly simple, and can work on *Google Colab! (https://colab.research.google.com/)

This repo has four notebooks (/rooibos/..):

1. Tutorial 1: Data visualization
2. Tutorial 2: Data correlation
3. Tutorial 3: Classification using simple statistics
4. Tutorial 4: Classification using machine learning

In case you found difficulty dealing with python when working on the tutorials, please check the following links:

1. https://www.sololearn.com/learning/1073
2. https://problemsolvingwithpython.com/

If you make use of this code in preparing results for a paper, please Cite:

Hussein, E.A.; Thron, C.; Ghaziasgar, M.; Vaccari, M.; Marnewick, J.L.; Hussein, A.A. Comparison of Phenolic Content and Antioxidant Activity for Fermented and Unfermented Rooibos Samples Extracted with Water and Methanol. Plants 2022, 11, 16. https://doi.org/10.3390/plants11010016