AI

What is a support vector?

Support vector machines are supervised machine learning models that are well-suited for high-dimensional data and…

Better Python Programming for Data Scientists, Part 4: Introduction to Object-Oriented Programming

Strategies for Imbalanced Classes

Many real-world problems involve imbalanced classes, but most classification algorithms don’t handle…

Better Python Programming for Data Scientists, Part 3: Data Structures

Homoscedasticity vs Heteroscedastcity

Homoscedasticity is constant (or homogeneous) variance in a set of random variables. You may…

Understanding the Bias-Variance Tradeoff

The Bias-Variance Tradeoff is a concept that is easy to skip over when first starting out…

An Introduction to Uplift Modeling

Marketing campaigns can be expensive. You want to contact only the people who you think will be…

Understanding Model Uncertainty

Every model has uncertainty. The model learns from imperfect or incomplete information, which impacts…