https://github.com/nishant2018/lazy-learner-code

A lazy learner in machine learning defers processing training data until prediction time. It stores instances and labels, avoiding upfront learning. Examples include KNN. They're efficient for changing data or limited resources but may be slower for predictions.
https://github.com/nishant2018/lazy-learner-code

Last synced: 3 days ago
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A lazy learner in machine learning defers processing training data until prediction time. It stores instances and labels, avoiding upfront learning. Examples include KNN. They're efficient for changing data or limited resources but may be slower for predictions.

• Host: GitHub
• URL: https://github.com/nishant2018/lazy-learner-code
• Owner: Nishant2018
• Created: 2024-03-05T05:23:35.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-03-05T05:24:06.000Z (8 months ago)
• Last Synced: 2024-03-05T06:34:04.486Z (8 months ago)
• Language: Jupyter Notebook
• Size: 5.86 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# lazy-learner-Code

A lazy learner in machine learning defers processing training data until prediction time. It stores instances and labels, avoiding upfront learning. Examples include KNN. They're efficient for changing data or limited resources but may be slower for predictions.