Deep Learning, Machine Learning, Artificial Intelligence, IoT, Tinyml.
function for thresholding is used. Line 12 contains the implementation of encoding the non-categorical labels using LabelEncoder class of sklearn. Finally, in line 15, the dataset is split into train and test sets. The preprocessing step also includes converting the labels to one-hot vectors and