Predict-housing-prices-in-Portland | Predict housing prices in Portland , Oregon

 by   girishkuniyal Jupyter Notebook Version: Current License: No License

kandi X-RAY | Predict-housing-prices-in-Portland Summary

kandi X-RAY | Predict-housing-prices-in-Portland Summary

Predict-housing-prices-in-Portland is a Jupyter Notebook library. Predict-housing-prices-in-Portland has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Suppose you are selling your house and you want to know what a good market price would be. One way to do this is to first collect information on recent houses sold and make a model of housing prices. The file ex1data2.txt contains a training set of housing prices in Portland,Oregon. The first column is the size of the house (in square feet), the second column is the number of bedrooms and the third column is the price of the house. Dataset is like below :. Now we have to predict housing prices in Portland, Oregon.(including which is not mention in our example dataset). Install dependencies using pip.
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              Predict-housing-prices-in-Portland has a low active ecosystem.
              It has 18 star(s) with 19 fork(s). There are 2 watchers for this library.
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              There are 0 open issues and 1 have been closed. There are no pull requests.
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              Predict-housing-prices-in-Portland releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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