Machine Learning (ML) · Beginner level

Beginner level · Module 5: Responsible ML and a First Project · Lesson 3 of 3

Completing and Presenting the Project

Finish the dropout-risk project, check it from start to finish and present it.

In this lesson you will

  • Assemble a reproducible end-to-end notebook
  • Present results, recommendation and limits

Key concepts

reproducibilityrandom_statenotebook structurepresentation

The lesson

A good project notebook runs from top to bottom on a fresh kernel, uses random_state for repeatable results and is organised into sections: question, data, preparation, models, evaluation, conclusion.

Compare your models against the baseline and each other on the validation set, then report the final choice's test performance once.

In the presentation, start with the decision and recommendation, show the key evidence, then the limits. Keep code out of the slides.

Step by step

  1. Restart the kernel and run the notebook top to bottom.
  2. Tidy sections and markdown explanations.
  3. Prepare three or four slides.
  4. Rehearse a five-minute presentation.

Practice activity

Complete and present the dropout-risk level project.

Expected result: A reproducible notebook and a clear presentation covering recommendation, evidence and limits.

Check your understanding

  1. How do you check a notebook is reproducible?

    Show answer

    Restart the kernel and run it top to bottom with fixed random seeds.

  2. What should come first in the presentation?

    Show answer

    The decision and recommendation.

Taught live by an instructor — online or in person. Free course lessons are for self-study and do not lead to a certificate — see registration options.