Added source code and solved all requirements of ex8: Anomaly Detection and Recommender Systems.

Added solutions for exercise 7, part 2 (Implemented Principal Component Analysis).

Solved part 1 of ex7 (K-means).

Added source code for ex7.

Solved exercise 6.

Added exercise 6 source files.

Added functionality to compute test set error of the model generated with lambda = 3 (best lambda found).

Added gunctionality to get the lambda that generates the least error. A plot that presents the error for each lambda is now shown.

Added function that generates p polinomial features, based on an array X.

Added functinoality to calculate the different learning curves of the hypothesis, from 1:m.

Documented linear regression cost function (2).

Documented linear regression cost function.

Added regularized linear regression gradient.

Implemented regularized error (J) function.

Added project 5 source code.