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60 lines
1.6 KiB
60 lines
1.6 KiB
# Build a Cuisine Recommender Web App
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In this lesson, you will build a classification model using some of the techniques you have learned in previous lessons and with the delicious cuisine dataset used throughout this series. In addition, you will build a small web app to use a saved model, leveraging Onnx's web runtime.
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One of the most useful practical uses of machine learning is building recommendation systems, and you can take the first step in that direction today!
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[](https://youtu.be/giIXNoiqO_U "Recommendation Systems Introduction")
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> 🎥 Click the image above for a video: Andrew Ng introduces recommendation system design
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## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/23/)
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In this lesson you will learn:
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### Introduction
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Describe what will be covered
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> Notes
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### Prerequisite
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What steps should have been covered before this lesson?
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### Preparation
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Preparatory steps to start this lesson
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---
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[Step through content in blocks]
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## [Topic 1]
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### Task:
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Work together to progressively enhance your codebase to build the project with shared code:
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```html
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code blocks
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```
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✅ Knowledge Check - use this moment to stretch students' knowledge with open questions
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## [Topic 2]
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## [Topic 3]
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## 🚀Challenge
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Add a challenge for students to work on collaboratively in class to enhance the project
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Optional: add a screenshot of the completed lesson's UI if appropriate
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## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/24/)
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## Review & Self Study
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## Assignment
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[Assignment Name](assignment.md)
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