apply machine learning algorithm on the COVID-19 by Octave

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

Octave

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

Taidot: Machine Learning (ML)

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Projektin tunnus: #28518125