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Machine Learning/Learning path
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← 18. Machine-Learning Applications & Projects
Lesson 4 of 4 7 min · 144 words

Project presentations

Telling the story of your problem, method and results.

A good project presentation tells a story in this order:

  • Problem: why it matters and who cares — one clear sentence.
  • Data: where it came from, its size, key features, and its limitations.
  • Approach: baseline first, then the models you tried and why.
  • Results: the main metric against the baseline, with a clear chart; error analysis showing where the model fails.
  • Insights: what drives predictions, what you learned.
  • Limitations and next steps: be honest about weaknesses, bias and what you would do with more time.

Show, don't just tell: one confusion matrix or a few example predictions is worth a paragraph of numbers. Keep slides uncluttered — one idea per slide.

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The first model in any project should be…

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