Seyong Ryoo

Deep learning is a subset of Machine Learning that tries to find pattern from data using neural networks. Why Deep learning? Instead of hand engineering features like in traditional machine learning which is time consuming, brittle and not scalable in practice, we let the machine look at data and try... [Read More]

In this article, my main focus will be on implementing the CatBoost algorithm discussed in my previous post on an actual dataset. If you haven’t had a chance to read it yet, I recommend checking out CatBoost Part 1 - How CatBoost deals with categorical features. The dataset I’ll be... [Read More]

The other night, I was browsing through the YouTube page of StatQuest with Josh Starmer and noticed that there were recent uploads about CatBoost, which is a Machine Learning algorithm unfamiliar to me. Intrigued, I decided to watch the series (part 1 and 2) along with the related videos that... [Read More]

What is Clustering? [Read More]

This post is based on the videos by StatQuest with Josh Starmer. [Read More]