https://github.com/lucasgmalheiros/pricing-housing-california
Price predictions over a dataset of housing data from the 1990 California sensus.
https://github.com/lucasgmalheiros/pricing-housing-california
Last synced: 2 months ago
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Price predictions over a dataset of housing data from the 1990 California sensus.
- Host: GitHub
- URL: https://github.com/lucasgmalheiros/pricing-housing-california
- Owner: lucasgmalheiros
- Created: 2024-03-22T23:07:47.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-22T23:32:57.000Z (about 1 year ago)
- Last Synced: 2025-01-28T09:47:44.927Z (4 months ago)
- Language: Jupyter Notebook
- Size: 1.63 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# California Housing Prices
Applying machine learning techniques to the [California Housing Prices dataset](https://www.kaggle.com/datasets/camnugent/california-housing-prices) to predict the prices of listed homes.
The challenge proposed in the book [Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow](https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646) requires exploratory analysis of data, application of preprocessing techniques, application, comparison of models, and improvement of parameters.
The analyses, discussions and results are available at [house-analysis](https://github.com/lucasgmalheiros/pricing-housing-california-/blob/main/house-analysis.ipynb).
