Avsnittsöversikt

◄Project 3

  • Project 4 (Practical applications)

    Posting date: TBD

    Oral Presentation date: TBD

    Two students as a group pick up a dataset from one of the following databases or search engines, 

    1) Kaggle datasets (www.kaggle.com)

    2) UCI ML repository (https://archive.ics.uci.edu/ml/index.php)

    3) Google datasets search engine (https://datasetsearch.research.google.com)

    4) Microsoft datasets (https://msropendata.com)

    5) Awesome public datasets (https://github.com/awesomedata/awesome-public-datasets)

    6) Your own research data

    then analyze it using any unsupervised learning method with validations and present the result orally (~20 mins). A written report from the group will be handed in before TBD

     

    Grading of your report and presentation of project 4 will be based on the following criteria:

    - Apply appropriate advanced unsupervised learning method to the chosen dataset (25p)

    - Display understanding of the method and knowledge about theoretical background (25p)

    - Correctly interpret the analysis results (25p)

    - Present the method and result in oral and report clearly and logically (25p)

◄Project 3