Requirements
Step 1: Collecting data
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Find some data, preferably from your work place, that you can
use for some data mining task
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If you can’t find useful data, you can generate data by scraping
websites or use datasets available online
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Discuss with your teacher if the data you have selected is
suitable
Step 2: Data processing
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Transform your data into a suitable format, for example CVS or
ARFF
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You might also need to pre-process your data for it to be
suitable for machine learning algorithms
Step 3: Applying machine learning on the data
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Select and apply a suitable machine learning algorithm for
classification or regression on your data
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Gather suitable performance metrics, for example accuracy and
training time
Step 4: Write technical report
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Write a technical report where you:
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Describe your data and how it was gathered
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Describe the pre-processing if you used any
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Describe and motivate your choice of machine learning
algorithm
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Present and discuss the results
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Discuss what your machine learning system can be used for
Technical Report Format:
[IEEE Conference Proceedings
Template]