Different strategies to call and use matlab scripts and functions from Python code.
How to do Blind Source Separation (BSS) using algorithms available in the Shogun Machine Learning Toolbox.
Exploring the functionality of the ***emcee*** and ***pymc*** Python modules.
Basic ideas about curve fitting, in Python.
Read header information and load data from DICOM files, in Python.
Here we'll explore Principal Component Analysis, which is an extremely useful linear dimensionality reduction technique. Using Scikit-learn and Python.
Testing a very simple example of nonlinear least squares curve fitting using the scipy.optimize module.