https://github.com/syipmong/intro-to-machine-learning
https://github.com/syipmong/intro-to-machine-learning
Last synced: 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/syipmong/intro-to-machine-learning
- Owner: Syipmong
- Created: 2023-12-09T03:06:36.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-11T03:18:04.000Z (over 1 year ago)
- Last Synced: 2024-05-02T04:20:32.928Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 530 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Your cousin has made millions of dollars speculating on real estate. He's offered to become business partners with you because of your interest in data science. He'll supply the money, and you'll supply models that predict how much various houses are worth.
You ask your cousin how he's predicted real estate values in the past, and he says it is just intuition. But more questioning reveals that he's identified price patterns from houses he has seen in the past, and he uses those patterns to make predictions for new houses he is considering.
Machine learning works the same way. We'll start with a model called the Decision Tree. There are fancier models that give more accurate predictions. But decision trees are easy to understand, and they are the basic building block for some of the best models in data science.