Here's how PYML.SOURCEFORGE.NET makes money* and how much!

*Please read our disclaimer before using our estimates.
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PYML . SOURCEFORGE . NET {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Pyml.sourceforge.net Make Money
  6. Keywords
  7. Topics
  8. External Links
  9. Libraries

We are analyzing https://pyml.sourceforge.net/.

Title:
PyML - machine learning in Python — PyML v0.7.3 documentation
Description:
No description found...
Website Age:
25 years and 10 months (reg. 1999-08-08).

Matching Content Categories {📚}

  • Technology & Computing
  • Telecommunications
  • Science

Content Management System {📝}

What CMS is pyml.sourceforge.net built with?

Custom-built

No common CMS systems were detected on Pyml.sourceforge.net, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of pyml.sourceforge.net audience?

🚦 Initial Traffic: less than 1k visitors per month


Based on our best estimate, this website will receive around 72 visitors per month in the current month.

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How Does Pyml.sourceforge.net Make Money? {💸}

We're unsure if the website is profiting.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Pyml.sourceforge.net could be secretly minting cash, but we can't detect the process.

Keywords {🔍}

pyml, kernel, methods, home, tutorial, svm, howto, download, developer, machine, learning, python, svms, classifiers, selection, interactive, object, oriented, framework, written, focuses, supported, linux, mac, news, added, wrapper, liblinear, version, extremely, training, linear, features, support, vector, machines, nearest, neighbor, ridge, regression, multiclass, oneagainstrest, oneagainstone, feature, filter, rfe, model, preprocessing, normalization, syntax,

Topics {✒️}

machine learning written news added wrapper extremely fast training support vector machines asa ben-hur model selection preprocessing weighted-degree kernel kernel methods features classifiers filter methods pyml focuses feature selection spectrum kernel python pyml svm howto mac os nearest neighbor normalization syntax cross-validation error rates roc curves biological sequences linear svms python svms home tutorial download supported linux liblinear version 0 rest rfe kernels variants created sphinx 1

Libraries {📚}

  • jQuery
  • Underscore.js

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