Chapter 4. Simple Predictive Analytics with NumPy

Following the exploration of the meteorological data in the previous chapter, we will now try to predict temperature. Usually, weather prediction is accomplished with complex models and top-of-the-line supercomputers. Most people don't have access to such resources, so we will cut corners and use simpler models. The list of topics covered in this chapter is as follows:

• Autocorrelation

• Autoregressive models

• Robust statistics