Requirements

Step 1: Collecting data

• Find some data, preferably from your work place, that you can use for some data mining task
• If you can’t find useful data, you can generate data by scraping websites or use datasets available online
• Discuss with your teacher if the data you have selected is suitable

Step 2: Data processing

• Transform your data into a suitable format, for example CVS or ARFF
• You might also need to pre-process your data for it to be suitable for machine learning algorithms

Step 3: Applying deep learning on the data

• Select and apply a suitable deep learning algorithm for classification or regression on your data
• Gather suitable performance metrics, for example accuracy and training time

Step 4: Write technical report

• Write a technical report where you:
  • Describe your data and how it was gathered
  • Describe the pre-processing if you used any
  • Describe and motivate your choice of machine learning algorithm
  • Present and discuss the results
  • Discuss what your machine learning system can be used for

 

Technical Report Format: [IEEE Conference Proceedings Template]