Boston-Housing-Regression-Model | regression model to predict the prices of houses in Boston
kandi X-RAY | Boston-Housing-Regression-Model Summary
kandi X-RAY | Boston-Housing-Regression-Model Summary
Boston-Housing-Regression-Model is a HTML library. Boston-Housing-Regression-Model has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
A regression model to predict the prices of houses in Boston based on data collected and 1978 and scaled to reflect 35 years of inflation
A regression model to predict the prices of houses in Boston based on data collected and 1978 and scaled to reflect 35 years of inflation
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Boston-Housing-Regression-Model has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Boston-Housing-Regression-Model has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Boston-Housing-Regression-Model is current.
Quality
Boston-Housing-Regression-Model has no bugs reported.
Security
Boston-Housing-Regression-Model has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Boston-Housing-Regression-Model does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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Boston-Housing-Regression-Model releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Boston-Housing-Regression-Model Key Features
No Key Features are available at this moment for Boston-Housing-Regression-Model.
Boston-Housing-Regression-Model Examples and Code Snippets
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Community Discussions
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Vulnerabilities
No vulnerabilities reported
Install Boston-Housing-Regression-Model
This project requires Python 2.7 and the following Python libraries installed:. You will also need to have software installed to run and execute a Jupyter Notebook. If you do not have Python installed yet, it is highly recommended that you install the Anaconda distribution of Python, which already has the above packages and more included. Make sure that you select the Python 2.7 installer and not the Python 3.x installer.
NumPy
Pandas
matplotlib
scikit-learn
NumPy
Pandas
matplotlib
scikit-learn
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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