Dataset in support of the Southampton doctoral thesis 'Machine learning for optimal unexploded ordnance mitigation'

This dataset contains :Python code for Magnetic Modeling and Machine Learning of Spheroids
The code is sub-divided into 3 folders:
Custom Packages: These are packages which will be called by the other scripts.
Forward Modelling: This folder contains code for three stages.
- 01_Forward_Model_Perfect_Data: Use the parameter input file to determine the range of parameters to create in the dataset
-02_Realistic_Data_Conversion.py: Converts the newly created perfect dataset into a realistic dataset. The user can define multiple parameters within this script.
- 03_Feature_Extraction.py: This will extract features from the gridded data to be used in the machine learning.

Machine Learning: This folder contains code set up to train the Random Forest and Deep Learning examples models of both regression and classification.