Implementation of various of algorithms described in "Applied Machine Learning" by David Forsyth
Rather than using a package, I implemented the EM algorithm by myself and displayed the results for some images
Mean Field Inference for denoising binary images with Boltzmann Machines on MNIST data
Implementation of the Topic Model EM algorithm and vizualisation of topic frequencies
Agglomerative clustering and k-means clustering
Classification of high dim. data with vector quantization
Building of linear regression and ploting the residuals for 3 different problems
Implementation of Principal Component Analysis and using Principal Coordinate Analysis to make a 2D map of the means