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Week 10 - Project Presentation

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For the presentation, generate predictions for the Kaggle competition test dataset using your best model and upload them there!

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Presentation (Powerpoint, Keynote or similar)

Prepare an 8 to 10-minute presentation including:

  • Your team members’ names on the title slide

  • List and brief description of self-created variables

  • Bar charts with confidence intervals for two self-created variables

Each team member should have a part in the presentation!

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Document your work in the project repository, completing the README files as specified.

One team member must upload the main README to the EduHub platform as described .

Linear model optimization: model equation and adjusted R²
  • Type of missing value imputation used

  • Neural network optimization:

    • Source code defining the neural network

    • Loss function plots for training and validation sets

    • MAPE scores for the overall validation set and each product group

  • Highlight “Worst Fail” and “Best Improvement” cases

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