04 Machine Learning

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With the data preparation complete, this step will demonstrate how you can configure a scikit-learn or dask_ml pipeline, but any library, algorithm, or simulator could be used at this stage if it can accept array data. In the next step of the tutorial, Data Visualization you will learn how to visualize the output of this pipeline and diagnose as well as ensure that the inputs to the pipeline have the expected structure.

In [1]:
import intake
import numpy as np
import xarray as xr

import holoviews as hv

import cartopy.crs as ccrs
import geoviews as gv

import hvplot.xarray

hv.extension('bokeh', width=80)