100daysofmlwriting

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…

Better Python Programming for Data Scientists, Part 2: More Python Fundamentals

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…

Better Python Programming for Data Scientists, Part 1: Python Fundamentals

ML Core Concepts: Binary Logistic Regression

The first few entries in this series have focused on regression problems—that is…

Day 3: Lasso Regression

We’ve already seen Linear and Ridge Regression, so it’s time to look at…

ML Core Concepts: Linear Regression

Linear regression is one of the simplest machine learning algorithms, and a good place to start…