A covariance matrix is a square matrix that shows the covariance between every pair of variables in a given data set, where each element in the matrix represents the corresponding covariance.
As a data scientist, developing great models and extrapolating nuanced insights won’t get you far if you can’t communicate your findings clearly. Here’s how to present your work using bokeh.
