Please submit your solution via LEARNONLINE. Submission instructions are given at the end of this assignment.
This assessment is due on Sunday, 10 June 2018, 11:55 PM.
This assessment is worth 20% of the total marks.
This assessment consists of 6 questions.
In this assignment you will aim to predict if it will rain on each day given weather observations from the
preceding day. You will perform a number of machine learning tasks, including training a classifier, assessing
its output, and optimising its performance. You will document your findings in a written report. Write
concise explanations; approximately one paragraph per task will be sufficient.
Download the data file for this assignment from the course website (file weather.zip). The archive contains
the data file in CSV format, and some python code that you may use to visualise a decision tree model.
Before starting this assignment, ensure that you have a good understanding of the Python programming
language, the Jupyter Python notebook environment, and an overall understanding of machine learning
training and evaluation methods using the scikit-learn python library (Practical 3). You will need a working
Python 3.x system with the Jupyter Notebook environment and the ‘sklearn’ package installed.
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