Week 10 - Project Presentation

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

Presentation (Powerpoint, Keybote 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

• 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

Each team member should have a part in the presentation!

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 here.