Machine learning|Python|final project|AI

  1. Project PlanSelect a machine learning problem, and example data sets.Sketch an idea or approach to be explored.  You can choose a nature-inspired EA not explored in course assignments (ant, bat, bee, firefly, fish, …).Describe the criterion to be used for evaluation, and how evaluation will be carried out: you are expected to compare with GA/ES/PSO and a more traditional gradient-descent based learning algorithm.
  1. Final Project report and implementation code
    1. Report Format: IEEE 2-column 12-pt Times New Roman; with abstract and five sections: Introduction, Problem & Data Description, Approach, Results, Discussion.
    1. Code: Must demonstrate that it works.
    1. Evaluation results
    1. PPT to explain your work

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