We have a small dataset (30) and want to carry out predictive modelling using machine learning Python tools and packages.
https://www.javiercancela.com/pymle-equations.pdf
http://totoharyanto.staff.ipb.ac.id/files/2012/10/Building-Machine-Learning-Systems-with-Python-Richert-Coelho.pdf
it might be a good idea to use resampling methods like upsampling, downsampling or SMOTE.
https://arxiv.org/pdf/1106.1813.pdf
I think you might try k-folds cross-validation technique to increase the number of training subsets.
https://scikit-learn.org/stable/tutorial/statistical_inference/model_selection.html#cv-generators-tut
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