Kaggle Challenge - Present, Launch and Maintain the System
Discover how to effectively present your machine learning solutions by highlighting key learnings, model limitations, and assumptions. Learn to prepare your system for production by deploying your model, monitoring its performance, and automating updates to keep it reliable and up-to-date. This lesson helps you understand the essential final steps to launch and maintain end-to-end ML projects beyond development.
We'll cover the following...
We'll cover the following...
6. Present the Solution
Now comes the phase where you need to showcase your results, to present your solution. Some handy pointers:
- Highlight what you have learned
- What worked and what did not
- What assumptions you made
- Your models limitations
- Create compelling