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.
Correlation occurs when two variables change at the same time, while causation is when a change in one variable causes the other to change. Here’s why you need to understand the difference.
