Gradient Boosting and XGBoost in Machine Learning: Easy Explanation for Data Science Interviews

Emma Ding
Emma Ding
30.5 هزار بار بازدید - پارسال - Questions about Gradient Boosting frequently
Questions about Gradient Boosting frequently appear in data science interviews. In this video, I cover what the Gradient Boosting method and XGBoost are, teach you how I would describe the architecture of gradient boosting, and go over some common pros and cons associated with gradient-boosted trees.

🟢Get all my free data science interview resources
https://www.emmading.com/resources
🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case...
🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-i...
🟣 Behavioral Interview Cheatsheet https://www.emmading.com/behavioral-i...
🔵 Data Science Resume Checklist https://www.emmading.com/data-science...

✅ We work with Experienced Data Scientists to help them land their next dream jobs. Apply now: https://www.emmading.com/coaching

// Comment
Got any questions? Something to add?
Write a comment below to chat.

// Let's connect on LinkedIn:
LinkedIn: emmading001

====================
Contents of this video:
====================
00:00 Introduction
01:01 Gradient Boosting
02:11 Gradient-boosted Trees
02:54 Algorithm
05:53 Hyperparameters
07:55 Pros and Cons
09:00 XGBoost
پارسال در تاریخ 1401/10/26 منتشر شده است.
30,520 بـار بازدید شده
... بیشتر