In this video, we’ll be focusing on the concept of resampling. I’ll introduce you to two particularly useful resampling techniques: bootstrapping and permutation tests. Then, we’ll compare the two.
🟢Get all my free data science interview resources
[ Ссылка ]
🟡 Product Case Interview Cheatsheet [ Ссылка ]
🟠 Statistics Interview Cheatsheet [ Ссылка ]
🟣 Behavioral Interview Cheatsheet [ Ссылка ]
🔵 Data Science Resume Checklist [ Ссылка ]
✅ We work with Experienced Data Scientists to help them land their next dream jobs. Apply now: [ Ссылка ]
// Comment
Got any questions? Something to add?
Write a comment below to chat.
// Let's connect on LinkedIn:
[ Ссылка ]
====================
Contents of this video:
====================
00:00 Introduction to Resampling
00:51 Sample and Sampling
01:17 Why Is Resampling Useful?
03:22 Assumptions of Resampling
03:47 Resampling Methods
04:01 Bootstrapping
05:08 Bootstrap Distribution vs. Sampling Distribution
05:41 How Many Resamples Are Needed?
05:58 Permutation Tests
08:33 Bootstrapping vs. Permutation Tests
09:01 Statistics-Related Resources
Ещё видео!