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)