HW1 -> Linear and Logistic Regression

HW2 -> Multiclass Classification using Logestic Regression + Softmax, Binary Classification using Beyesian Classifier (LDA, QDA)

HW3 -> Density Disitribution Estimation (Histogram, KNN, Kernels (parzen-window, Gaussian))

HW4 -> Dimensionality Reduction (PCA, Fisher's LDA) on JAFFE Dataset

HW5 -> UnSuppervised learning (K-Means, GMM)

HW6 -> Linear and Non-linear (RBF and Poly kernel) SVM + one-class SVM novelty detection (using sklearn)