How to Tune the Perfect Smoother
<p>In a previous article I introduced the Whittaker-Eilers smoother¹ as <a href="https://towardsdatascience.com/the-perfect-way-to-smooth-your-noisy-data-4f3fe6b44440" rel="noopener" target="_blank">The Perfect Way to Smooth Your Noisy Data</a>. In a few lines of code, the method provides quick and reliable smoothing with inbuilt interpolation that can handle large stretches of missing data. Furthermore, just a single parameter, λ (lambda), controls how smooth your data becomes. You’ll find that any smoother will have such parameters and tuning them can be tremendously tedious. So, let me show you just how painless it can be with the right method.</p>
<p><a href="https://towardsdatascience.com/how-to-tune-the-perfect-smoother-bcc5a67660b1"><strong>Click Here</strong></a></p>