Data Science

A Complete Guide to A/B Testing in Python: p-Values, Z-Tests, and Business Metrics

Oftentimes, when we compare two versions of a product, it’s difficult to tell whether the changes…
A/B Testing Explained: Metrics, Methods, and Why It Matters

A/B tests are designed to answer targeted business questions with evidence instead of guesswork. Once a…
A Practical Guide to Quantitative UX Research

When we talk about UX research, there are several methods we can use to understand how…
SQL-Driven Feature Adoption Study with Python Modeling and K-Means Segmentation

Imagine we are part of the Data team at a software company that released a new…
Understanding SVM: The Core Concepts Explained

Classification tasks are fundamental to machine learning because they address a wide range of real-world problems…
Overfitting

When working with a large dataset, it is common to come across outliers and noise (such…
So, what exactly is Data Science?

Data Science is one of those terms that has become part of today’s lexicon for practically…