#1: Finished the warmUpExercise.
#1: Week 2 Linear Regression with Multiple Variables done.
#2: Sigmoid wasn't so complex.
#OA1: Completed the first set of optional assignments.
#2: Be careful within loops, these are risky things.
#2: Completed the predict part, not sure what I did though!
#2: Completed Week 3 exercises. Regularized Logistic Regression.
#3: This is what it takes to vectorize logistic regression.
#3: One vs All technique using fmincg done.
#3: Still do not get predict, but it works!
#3: Completed Week 4 assignment, reading hand-written numbers.
#4: Completed Week 5 assignments. Better late than never. Also largest yet octave code.
#5: Regularized Cost of LINEAR Regression.
#5: Computing Gradient for Linear Regression.
#5: Completed week 6 assigments. Hooray!
#6: Calculating Gaussian Kernel.
#6: Training SVM with Gaussian Kernel to find optimal C and sigma values.
#6: Completed week 7 assignments.
#7: I guess I have cleared the course. Will complete it though.
#7: Completed First part of Ex7.