Weather forecasting with Machine Learning, using Python

<p>Physicists define climate as a&nbsp;<strong>&ldquo;complex system&rdquo;</strong>. While there are a lot of interpretations about it, in this specific case we can consider&nbsp;<strong>&ldquo;complex&rdquo;</strong>&nbsp;to be&nbsp;<strong>&ldquo;unsolvable in analytical ways&rdquo;</strong>.</p> <p>This may seems discouraging,&nbsp;<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:&nbsp;<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>