Weather forecasting with Machine Learning, using Python
<p>Physicists define climate as a <strong>“complex system”</strong>. While there are a lot of interpretations about it, in this specific case we can consider <strong>“complex”</strong> to be <strong>“unsolvable in analytical ways”</strong>.</p>
<p>This may seems discouraging, <strong>but it actually paves the way to a wide range of numerical algorithms that aim to solve the climate challenges</strong>. With the computational developments of the last years, Machine Learning algorithms are certainly part of them.</p>
<p>The challenge I want to discuss is based on forecasting the average temperature using traditional machine learning algorithms: <strong>Auto Regressive Integrated Moving Average models (ARIMA)</strong>.</p>
<p><a href="https://towardsdatascience.com/weather-forecasting-with-machine-learning-using-python-55e90c346647"><strong>Website</strong></a></p>