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<h3 class="title">Quick & Easy <span>model building</span></h3>
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<p class="text">SysIdentPy makes forecasting easy and powerful. Its intuitive interface and
extensive selection of methods, including Polynomial NARMAX and NARX Neural Networks,
allow you to create robust nonlinear dynamic models with ease. Whether you're new to
forecasting or an experienced practitioner, SysIdentPy gives you the flexibility and
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start with our official tutorials right now!</p> <a class="main-btn"
href="examples/">Try it</a>
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<h3 class="title">Cool facts <span> about SysIdentPy</span></h3>
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<p class="text">SysIdentPy empowers anyone to build low-code and robust dynamic models
from input and output data.</p>
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<p class="text">The greatest thing about SysidentPy is that it solves complex problems
in a simple and elegant way. Also it has great performance and is very user
friendly. We have it now running in production.</p>
</div>
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<h6 class="holder-name">Neylson Crepalde</h6>
<p class="text">CDO, A3Data</p>
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<p class="text">SysIdentPy is an great to work with time series and dynamic systems,
providing native methods and supporting many different estimators from packages like
sklearn and Catboost to build different NARMAX models.</p>
</div>
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<h6 class="holder-name">Nath Keles</h6>
<p class="text">Data Scientist, RD</p>
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<p class="text">In my experience, SysIdentPy is the best python package for System
Identification which uses NARMAX models.</p>
</div>
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src="overrides/assets/images/textimonial-shape.svg" /> <img alt="author"
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<h6 class="holder-name">Mehran Shahpari</h6>
<p class="text">MSc. Civil - Earthquake engineering | University of Science and
Culture, Tehran, Iran</p>
</div>
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