Basic Tutorial

These are the basic examples of different modules present in the TwinAPI library.

Machine Learning Examples

Testing out different types of machine learning models initally require a basic understanding of the algorithms as efficient machine learning models relate from a greater understanding of the dataset. Before deciding on selecting a ML model, the problem statement should be clearly defined. Whether the output of the ML model is a binary/multi or a floating/integer value. With regards to binary or multi-label output, a classifier is suitable and for predicting values a regression model is better suited. In the respective sections listed below we will encounter both machine learning scenarios.