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SmartStats

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SmartStats

SmartStats is a powerful toolkit for machine learning and data analytics in .NET. It provides a wide range of statistical functions and algorithms for data processing, exploration, and modeling. With SmartStats, you can easily preprocess your data, perform feature engineering, train and evaluate machine learning models, and make predictions on new data. SmartStats includes support for popular machine learning frameworks like TensorFlow, Keras, and scikit-learn, as well as for common data formats like CSV, JSON, and Excel. Whether you are a data scientist, machine learning engineer, or software developer, SmartStats can help you build smarter, more accurate, and more efficient data-driven applications.

3.0.0
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SmartStats

SmartStats is a .NET Standard package that provides statistical functions and transforms for machine learning and data analysis. The package includes a wide range of statistical methods and tools, such as linear regression, clustering, and data normalization, among others.

Installation

The SmartStats package can be installed using the NuGet Package Manager in Visual Studio or by using the .NET CLI. To install via the .NET CLI, run the following command:

dotnet add package SmartStats

## Usage
To use the SmartStats package in your project, add the following using statement at the top of your code file:

using SmartStats;

Then, you can call any of the available statistical functions or transforms, such as the following:

var data = new double[,] { { 1, 2 }, { 3, 4 }, { 5, 6 } };
var normalizedData = SmartStats.Normalize(data);
var kMeansClusters = SmartStats.KMeansCluster(normalizedData, 2);
var linearRegressionModel = SmartStats.LinearRegression(data);

## Documentation
Full documentation for the SmartStats package can be found here.

## Contributing
Contributions to the SmartStats package are always welcome! If you'd like to contribute, please read our contributing guidelines first.

## License
The SmartStats package is released under the MIT License. See the LICENSE file in this repository for more details.


This README file provides an overview of the package, instructions for installation and usage, links to documentation and contributing guidelines, and information about the package's license. You can modify it to fit your specific needs and provide more information about your package.

Keywords

machine

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Package last updated on 31 Mar 2023

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U.S. Patent No. 12,346,443 & 12,314,394. Other pending.