Sunghyun Ahn

Union, Intersection, Independence, Disjoint, Complement: Advanced Probability for Data Science Series (1) Sunghyun Ahn · Follow Published in Towards Data Science · 11 min read · 1 day ago — Photo by Martin Woortman on Unsplash If you are not a paid member on Medium, I make my stories available for free: Friends link If you’ve been following my previous articles in the probability series, you may have noticed that I briefly touched on concepts

GANs and SMOTE explained through bartending: Data Science for Machine Learning Series (1) Sunghyun Ahn · Follow Published in Towards Data Science · 12 min read · 1 day ago — SMOTE Technique Mechanism If you are not a paid member on Medium, I make my stories available for free: Friends link Personally, it feels like data is treated as the new oil of the digital age. This feels especially true with the boom in

Going through Seattle’s local retail store data for consumer patterns of the lottery (with SQL, Python) Sunghyun Ahn · Follow Published in Towards Data Science · 12 min read · 2 days ago — Lottery sales trend from a local retail store If you are not a paid member on Medium, I make my stories available for free: Friends link Today’s article takes a slight detour from my usual data-science-focused pieces, but don’t worry —

Understanding Different Types of Chi-Squared Tests: A/B Testing for Data Science Series (11) Sunghyun Ahn · Follow Published in Towards Data Science · 12 min read · 3 days ago — Photo by Joppe Spaa on Unsplash If you are not a paid member on Medium, I make my stories available for free: Friends link The term “Chi-Squared Test” is often thrown around without much clarification about which specific test is being referenced. Of course,

Understanding Distributions with Extremes: Probability for Data Science Series (End) Sunghyun Ahn · Follow Published in Towards Data Science · 11 min read · 3 days ago — Photo by Glen Carrie on Unsplash If you are not a paid member on Medium, I make my stories available for free: Friends link If you’ve been following my articles, you’ve probably noticed my recent emphasis on probability distributions. I’ve spent a lot of time talking about

Using soccer to understand the difference between Poisson & binomial: Probability for Data Science Series (3) Sunghyun Ahn · Follow Published in Towards Data Science · 10 min read · Dec 10, 2024 — Photo by Fancy Crave on Unsplash If you are not a paid member on Medium, I make my stories available for free: Friends link The Poisson and Binomial distributions are two fundamental discrete probability distributions used in data science and statistics.

A practical introduction to Bayes’ Theorem: Probability for Data Science Series (2) Sunghyun Ahn · Follow Published in Towards Data Science · 10 min read · 3 days ago — Photo by Markus Spiske on Unsplash If you are not a paid member on Medium, I make my stories available for free: Friends link Bayes’ Theorem is one of the most widely used and celebrated concepts in statistics. It sets the basis of a probability