LinReg.py MLP.py and RandomForest.py show basic model tuning and subsequent prediction. The DataSet which is confidential has not been shared but the models can be ubiquitously used.
ReversePredictionUsingSyntheticData.py demonstrates predicting output parameters using input parameters and predicting input parameters using output parameters. The latter is performed using a technique called synthetic data creation which effectively generates synthetic training set rows by taking linear combinations of existing training set rows.
TimingDiagram.py is a Python Script which autogenerates PostScript code to dynamically provide a visual depiction of the processes running on a target wireless system. It was meant to work in conjunction with other codes which are confidential.