In finance, quantitative modeling is the practice of organizing and interpreting data sets with mathematical formulas to identify trends in the broader markets.
Euclidean distance measures the length of the shortest line between two points. It’s commonly used in machine learning algorithms. Learn how to calculate it in Python.
ROC curves are one of the most common evaluation metrics for checking a classification model’s performance. This guide will help you to truly understand how ROC curves and AUC work together.
A z-table, or standard normal table, reveals what percentage of values fall below a certain z-score in a normal distribution. Here’s how to use one and create your own.
Optimizing SQL for large data sets is an important step in managing the performance of your database. Follow these best practices to achieve faster data retrieval and efficiency.
