Follow along with this machine learning for beginners tutorial, which walks through the basics of classification and regression algorithms and how to build a machine learning model in Weka.
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.
Mahalanobis distance is a distance metric that finds the distance between a point and a distribution. It’s often used for detecting outliers in multivariate data.
