Task 1: Data Collection and Cleaning
Collect and extract the data from the relevant website (suggest to download .csv file)
You many need to convert the format into suitable format before you can read them to the
Remember that the data stored in the Octave are in vectors and matrix format
Task 2: Apply Machine Learning Algorithm
First, identify whether the problem is supervised or unsupervised learning.
I suggest you first try some warm-up task which contain only 1-2 features.
And apply the some simple algorithms such as linear regression/logistic regression
After you get familiar with the environment, you can make sure of a more complicated
dataset and apply some more complicate algorithm.
(a) Identify a problem in machine learning you want to solve
(b) Collect and extract related data from websites
(c) Wrangle and process data into formats that is suitable to apply Machine Learning Algorithm
(d) Use Octave to implement the machine learning algorithm